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Journal articles on the topic 'Scanning imaging system'

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Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Murakami, Hironaru, Kazunori Serita, Yuki Maekawa, Shogo Fujiwara, Eiki Matsuda, Sunmi Kim, Iwao Kawayama, and Masayoshi Tonouchi. "Scanning laser THz imaging system." Journal of Physics D: Applied Physics 47, no. 37 (August 28, 2014): 374007. http://dx.doi.org/10.1088/0022-3727/47/37/374007.

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2

Smith, Daniel P., and Robert Lillquist. "Stimulated scanning infrared imaging system." Environment International 14, no. 1 (January 1988): III—IV. http://dx.doi.org/10.1016/0160-4120(88)90393-5.

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3

Shchepetilnikov, A. V., P. A. Gusikhin, V. M. Muravev, B. D. Kaysin, G. E. Tsydynzhapov, A. A. Dremin, and I. V. Kukushkin. "Linear scanning system for THz imaging." Applied Optics 60, no. 33 (November 18, 2021): 10448. http://dx.doi.org/10.1364/ao.442060.

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4

Quang, Tri T., Hye-Yeong Kim, Forrest Sheng Bao, Francis A. Papay, W. Barry Edwards, and Yang Liu. "Fluorescence Imaging Topography Scanning System for intraoperative multimodal imaging." PLOS ONE 12, no. 4 (April 24, 2017): e0174928. http://dx.doi.org/10.1371/journal.pone.0174928.

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5

Serita, Kazunori, Shori Mizuno, Hironaru Murakami, Iwao Kawayama, Yoshinori Takahashi, Masashi Yoshimura, Yusuke Mori, Juraj Darmo, and Masayoshi Tonouchi. "Scanning laser terahertz near-field imaging system." Optics Express 20, no. 12 (May 24, 2012): 12959. http://dx.doi.org/10.1364/oe.20.012959.

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6

Lennon, Daniel. "Uniform volumetric scanning ultrasonic diagnostic imaging system." Journal of the Acoustical Society of America 114, no. 1 (2003): 38. http://dx.doi.org/10.1121/1.1601141.

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7

Yang, Hong-Chang, Tsung-Yeh Wu, Herng-Er Horng, Chau-Chung Wu, S. Y. Yang, Shu-Hsien Liao, Chiu-Hsien Wu, et al. "Scanning high-TcSQUID imaging system for magnetocardiography." Superconductor Science and Technology 19, no. 5 (March 16, 2006): S297—S302. http://dx.doi.org/10.1088/0953-2048/19/5/s28.

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8

Kim, Keo Sik, Jeong Eun Kim, Kyeeun Kim, Aram Lee, and Hyun Seo Kang. "Hyperspectral Imaging System via DMD Spatial Scanning." Journal of the Institute of Electronics and Information Engineers 58, no. 8 (August 31, 2021): 111–18. http://dx.doi.org/10.5573/ieie.2021.58.8.111.

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9

Kim, Keo Sik, Jeong Eun Kim, Kyeeun Kim, Aram Lee, and Hyun Seo Kang. "Hyperspectral Imaging System via DMD Spatial Scanning." Journal of the Institute of Electronics and Information Engineers 58, no. 8 (August 31, 2021): 111–18. http://dx.doi.org/10.5573/ieie.2021.58.8.111.

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10

Leavesley, Silas, Yanan Jiang, Valery Patsekin, Bartek Rajwa, and J. Paul Robinson. "An excitation wavelength–scanning spectral imaging system for preclinical imaging." Review of Scientific Instruments 79, no. 2 (2008): 023707. http://dx.doi.org/10.1063/1.2885043.

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11

ZHANG Yun-hai, 张运海, 杨皓旻 YANG Hao-min, and 孔晨晖 KONG Chen-hui. "Spectral imaging system on laser scanning confocal microscopy." Optics and Precision Engineering 22, no. 6 (2014): 1446–53. http://dx.doi.org/10.3788/ope.20142206.1446.

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12

SERITA, Kazunori, and Masayoshi TONOUCHI. "Scanning Laser Two-Dimensional Terahertz Emission Imaging System." Review of Laser Engineering 40, no. 7 (2012): 496. http://dx.doi.org/10.2184/lsj.40.7_496.

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13

Okada, Kosuke, Kazunori Serita, Zirui Zang, Hironaru Murakami, Iwao Kawayama, Quentin Cassar, Gaëtan Macgrogan, Jean-Paul Guillet, Patrick Mounaix, and Masayoshi Tonouchi. "Scanning laser terahertz near-field reflection imaging system." Applied Physics Express 12, no. 12 (October 30, 2019): 122005. http://dx.doi.org/10.7567/1882-0786/ab4ddf.

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14

Soldatov, D. P., V. V. Gladun, V. V. Markelov, P. A. Pavlov, V. B. Petukhov, Yu A. Pirogov, and D. A. Tischenko. "Passive millimeter wave imaging system with tilt scanning." Bulletin of the Russian Academy of Sciences: Physics 76, no. 12 (December 2012): 1371–73. http://dx.doi.org/10.3103/s1062873812120301.

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15

Morooka, T., S. Nakayama, A. Odawara, M. Ikeda, S. Tanaka, and K. Chinone. "Micro-imaging system using scanning DC-SQUID microscope." IEEE Transactions on Appiled Superconductivity 9, no. 2 (June 1999): 3491–94. http://dx.doi.org/10.1109/77.783782.

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16

Tarpau, Cécilia, and Mai K. Nguyen. "Compton scattering imaging system with two scanning configurations." Journal of Electronic Imaging 29, no. 01 (January 14, 2020): 1. http://dx.doi.org/10.1117/1.jei.29.1.013005.

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17

Sciannella, Christian, and Giovanni Toso. "An Imaging Reflector System with Reduced Scanning Aberrations." IEEE Transactions on Antennas and Propagation 63, no. 4 (April 2015): 1342–50. http://dx.doi.org/10.1109/tap.2015.2403872.

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18

Murakami, Hironaru, and Masayoshi Tonouchi. "High-sensitive scanning laser magneto-optical imaging system." Review of Scientific Instruments 81, no. 1 (January 2010): 013701. http://dx.doi.org/10.1063/1.3276710.

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19

Liu, Changgeng, and Myung K. Kim. "Digital adaptive optics line-scanning confocal imaging system." Journal of Biomedical Optics 20, no. 11 (July 3, 2015): 111203. http://dx.doi.org/10.1117/1.jbo.20.11.111203.

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20

Henderson, Derek. "Partial rayline volumetric scanning ultrasonic diagnostic imaging system." Journal of the Acoustical Society of America 114, no. 4 (2003): 1725. http://dx.doi.org/10.1121/1.1627581.

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21

Alvarez, Yuri, Rene Camblor, Cebrian Garcia, Jaime Laviada, Carlos Vazquez, Samuel Ver-Hoeye, George Hotopan, et al. "Submillimeter-Wave Frequency Scanning System for Imaging Applications." IEEE Transactions on Antennas and Propagation 61, no. 11 (November 2013): 5689–96. http://dx.doi.org/10.1109/tap.2013.2275747.

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22

XU Zheng-ping, 徐正平, 匡海鹏 KUANG Hai-peng, and 许永森 XU Yong-sen. "Multi-model control of dynamic scanning assembly imaging system." Optics and Precision Engineering 21, no. 5 (2013): 1282–90. http://dx.doi.org/10.3788/ope.20132105.1282.

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23

Kaushik, Neelam, Takashi Sasaki, Toru Nakazawa, and Kazuhiro Hane. "Simple retinal imaging system using a MEMS scanning mirror." Optical Engineering 57, no. 09 (September 12, 2018): 1. http://dx.doi.org/10.1117/1.oe.57.9.095101.

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24

Grauby, S., A. Salhi, J. M. Rampnoux, W. Claeys, and S. Dilhaire. "Fast Laser Scanning Imaging System for Surface Displacement Measurements." IEEE Electron Device Letters 30, no. 3 (March 2009): 222–24. http://dx.doi.org/10.1109/led.2008.2012177.

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25

Huang, Guoliang, Cheng Deng, Jiang Zhu, Shukuan Xu, Chao Han, Xiaobo Song, and Xiaoyong Yang. "Digital imaging scanning system and biomedical applications for biochips." Journal of Biomedical Optics 13, no. 3 (2008): 034006. http://dx.doi.org/10.1117/1.2939402.

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26

Zhang, X. F., W. Huang, M. F. Xu, S. Q. Jia, X. R. Xu, F. B. Li, and Y. D. Zheng. "Super-resolution imaging for infrared micro-scanning optical system." Optics Express 27, no. 5 (March 1, 2019): 7719. http://dx.doi.org/10.1364/oe.27.007719.

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27

Martinek, Jan, Miroslav Valtr, Václav Hortvík, Petr Grolich, Danick Briand, Marjan Shaker, and Petr Klapetek. "Large area scanning thermal microscopy and infrared imaging system." Measurement Science and Technology 30, no. 3 (February 14, 2019): 035010. http://dx.doi.org/10.1088/1361-6501/aafa96.

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28

Arimoto, Rieko, Caesar Saloma, Takuo Tanaka, and Satoshi Kawata. "Imaging properties of axicon in a scanning optical system." Applied Optics 31, no. 31 (November 1, 1992): 6653. http://dx.doi.org/10.1364/ao.31.006653.

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29

Shin, Hye-Jin, and Jung-Ryul Lee. "Development of a long-range multi-area scanning ultrasonic propagation imaging system built into a hangar and its application on an actual aircraft." Structural Health Monitoring 16, no. 1 (September 24, 2016): 97–111. http://dx.doi.org/10.1177/1475921716664493.

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Materials such as aluminum alloys and carbon composites are widely used in aircraft structures. In the case of the use of Al-alloys in aircraft structures, fatigue cracks occur because of excessive and repeated loading and vibrations experienced during frequent flights. Meanwhile, composite materials are also damaged—for example, impact damage and debonding—and have defects, including voids, prepreg gaps, and overlaps created during the manufacturing process. Ultrasonic propagation imaging is a damage visualization technique that is used in structural inspections employing a laser scanning system and ultrasonic sensors. However, conventional ultrasonic propagation imaging or other scanning systems, such as a scanning laser Doppler vibrometer, only permit a single area to be inspected at one time. It is also difficult to inspect inaccessible areas, such as the upper skins of the aircraft wings. In this work, we describe a multi-area scanning ultrasonic propagation imaging system built in a hangar that is able to rapidly scan at a pulse repetition rate of 20 kHz. After acquiring the generated ultrasonic wave signal induced by laser excitation, ultrasonic propagation imaging videos for the in-plate guided wave are displayed. Finally, internal damage can be identified in a damage visualization platform. The developed multi-area scanning ultrasonic propagation imaging system is demonstrated by performing simultaneous inspections on two areas containing manufacturing defects in a large carbon/epoxy laminate. We also performed a demonstration of the hangar-based multi-area scanning ultrasonic propagation imaging system on an actual aircraft containing back surface cracks. The multi-area scanning ultrasonic propagation imaging system with tilting mirror systems installed in the hangar ceiling permitted a clear visualization of the damage. The damage visualization results confirm that the proposed multi-area scanning ultrasonic propagation imaging system and approach have excellent applicability as a built-in ultrasonic propagation imaging system for a Smart Hangar, which is a future structural health monitoring solution that will be used to realize a full-scale structural inspection of an actual aircraft.

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30

Ishikawa, Ryo, Yu Jimbo, Mitsuhisa Terao, Masashi Nishikawa, Yujiro Ueno, Shigeyuki Morishita, Masaki Mukai, Naoya Shibata, and Yuichi Ikuhara. "High spatiotemporal-resolution imaging in the scanning transmission electron microscope." Microscopy 69, no. 4 (April 3, 2020): 240–47. http://dx.doi.org/10.1093/jmicro/dfaa017.

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Abstract The temporal resolution in scanning transmission electron microscopy (STEM) is limited by the scanning system of an electron probe, leading to only a few frames per second (fps) at most in the current microscopes. To push the boundary of atomic-resolution STEM imaging into dynamic observations, an unprecedentedly faster scanning system combined with fast electron detection systems should be a prerequisite. Here we develop a new scanning probe system with the acquisition time of 83 nanoseconds per pixel and the fly-back time of 35 microseconds, leading to 25 fps STEM imaging with the image size of 512 × 512 pixels that is faster than a human perception speed. Using such high-speed probe scanning system, we have demonstrated the observations of shape-transformation of Pt nanoparticles and Pt single atomic motions on TiO2 (110) surface at atomic-resolution with the temporal resolution of 40 milliseconds. The present probe scanning system opens the door to use atomic-resolution STEM imaging for in situ observations of material dynamics under the temperatures of cooling or heating, the atmosphere of liquid or gas, electric-basing or mechanical test.

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31

Zhang, Z., and W. Dou. "A Compact THz Scanning Imaging System Based on Improved Reverse-Microscope System." Journal of Electromagnetic Waves and Applications 24, no. 8-9 (January 1, 2010): 1045–57. http://dx.doi.org/10.1163/156939310791585954.

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32

Zhang, Yanbo, Xiangdong Li, Xingwen Zhao, Xianzhong Tian, and Zijiang Yang. "Experimental research on terahertz scanning imaging system based on S-parameters." Journal of Physics: Conference Series 2187, no. 1 (February 1, 2022): 012044. http://dx.doi.org/10.1088/1742-6596/2187/1/012044.

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Abstract Due to the limitations of the detector in the terahertz (THz) scanning imaging process and the problems of low contrast and poor visualization effect of original image, a THz continuous-wave scanning imaging system from 75 to 110 GHz is presented. The system is comprised of vector network analyzer (VNA), spread spectrum module, transmit and receive antennas, scanning stage and host computer. In addition, the automatic acquisition and storage of S-parameters is realized by Virtual Instrument Software Architecture (VISA) protocol, and the gray imaging method based on S-parameters is proposed. High-precision structural resolution test board is designed based on printed circuit board (PCB) method and the imaging experiment for the resolution test board is carried out. By comparing with original imaging results, better imaging quality of the system designed in this paper is obtained and imaging results show that the resolution of 1.8 mm could be achieved.

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33

Bogowicz, Józef, Mariusz Chabera, Wojciech Dziewiecki, Kacper Kaźmierczak, Jan Klimaszewski, Tymoteusz Kosiński, Andrzej Łubian, et al. "Development of X-ray scanning system Sowa." Nukleonika 65, no. 4 (December 1, 2020): 229–32. http://dx.doi.org/10.2478/nuka-2020-0035.

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AbstractThe new vehicle scanning system Sowa has been developed in the National Centre for Nuclear Research. This innovative device is equipped with a 300 kV X-ray tube, U-shape imaging detector line, transport system, and fully shielded container. Sowa allows for a detailed inspection of the car and the detection of illegal transported items. This article presents the design, applied solutions, and achieved results of Sowa scanning system.

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34

LIU, LIXIN, JIA QIAN, YAHUI LI, XIAO PENG, and JUN YIN. "MONTE CARLO SIMULATION OF MULTIFOCAL STOCHASTIC SCANNING SYSTEM." Journal of Innovative Optical Health Sciences 07, no. 01 (January 2014): 1350054. http://dx.doi.org/10.1142/s1793545813500545.

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Multifocal multiphoton microscopy (MMM) has greatly improved the utilization of excitation light and imaging speed due to parallel multiphoton excitation of the samples and simultaneous detection of the signals, which allows it to perform three-dimensional fast fluorescence imaging. Stochastic scanning can provide continuous, uniform and high-speed excitation of the sample, which makes it a suitable scanning scheme for MMM. In this paper, the graphical programming language — LabVIEW is used to achieve stochastic scanning of the two-dimensional galvo scanners by using white noise signals to control the x and y mirrors independently. Moreover, the stochastic scanning process is simulated by using Monte Carlo method. Our results show that MMM can avoid oversampling or subsampling in the scanning area and meet the requirements of uniform sampling by stochastically scanning the individual units of the N × N foci array. Therefore, continuous and uniform scanning in the whole field of view is implemented.

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35

Zhang, Qimei, Anna M. Grabowska, Philip A. Clarke, and Stephen P. Morgan. "Numerical Simulation of a Scanning Illumination System for Deep Tissue Fluorescence Imaging." Journal of Imaging 5, no. 11 (October 24, 2019): 83. http://dx.doi.org/10.3390/jimaging5110083.

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The spatial resolution and light detected in fluorescence imaging for small animals are limited by light scattering, absorption and autofluorescence. To address this, novel near-infrared fluorescent contrast agents and imaging configurations have been investigated. In this paper, the influence of the light wavelength and imaging configurations (full-field illumination system and scanning system) on fluorescence imaging are compared quantitatively. The surface radiance for both systems is calculated by modifying the simulation tool Near-Infrared Fluorescence and Spectral Tomography. Fluorescent targets are embedded within a scattering medium at different positions. The surface radiance and spatial resolution are obtained for emission wavelengths between 620 nm and 1000 nm. It was found that the spatial resolution of the scanning system is independent of the tissue optical properties, whereas for full-field illumination, the spatial resolution degrades at longer wavelength. The full width at half maximum obtained by the scanning system is 25% lower than that obtained by the full-field illumination system when the targets are located in the middle of the phantom. The results indicate that although imaging at near-infrared wavelength can achieve a higher surface radiance, it may produce worse spatial resolution.

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36

Zhang, Yunhai, Bian Hu, Yakang Dai, Haomin Yang, Wei Huang, Xiaojun Xue, Fazhi Li, et al. "A New Multichannel Spectral Imaging Laser Scanning Confocal Microscope." Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/890203.

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We have developed a new multichannel spectral imaging laser scanning confocal microscope for effective detection of multiple fluorescent labeling in the research of biological tissues. In this paper, the design and key technologies of the system are introduced. Representative results on confocal imaging, 3-dimensional sectioning imaging, and spectral imaging are demonstrated. The results indicated that the system is applicable to multiple fluorescent labeling in biological experiments.

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37

Kim, You Seok, and Taegeun Kim. "Binocular Holographic Three-Dimensional Imaging System Using Optical Scanning Holography." Korean Journal of Optics and Photonics 26, no. 5 (October 25, 2015): 249–54. http://dx.doi.org/10.3807/kjop.2015.26.5.249.

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38

Shiratsuchi, Hiroaki, Kohei Matsushita, and Ichiro Omura. "IGBT chip current imaging system by scanning local magnetic field." Microelectronics Reliability 53, no. 9-11 (September 2013): 1409–12. http://dx.doi.org/10.1016/j.microrel.2013.07.092.

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39

Hoyes, J. B., Q. Shan, and R. J. Dewhurst. "A non-contact scanning system for laser ultrasonic defect imaging." Measurement Science and Technology 2, no. 7 (July 1, 1991): 628–34. http://dx.doi.org/10.1088/0957-0233/2/7/009.

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40

Wang, Yifan, Kaiyi Zhu, Yueyue Lu, Shulian Zhang, and Yidong Tan. "Laser Scanning Feedback Imaging System Based on Digital Micromirror Device." IEEE Photonics Technology Letters 32, no. 3 (February 1, 2020): 146–49. http://dx.doi.org/10.1109/lpt.2019.2962611.

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41

Gao Meijing, 高美静, 杨铭 Yang Ming, 李时雨 Li Shiyu, 张博智 Zhang Bozhi, 王留柱 Wang Liuzhu, and 祖振龙 Zu Zhenlong. "Micro-Scanning Error Correction Technique for Microscope Thermal Imaging System." Laser & Optoelectronics Progress 55, no. 5 (2018): 051103. http://dx.doi.org/10.3788/lop55.051103.

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42

Sim, K. S., and Y. H. Huang. "Local dynamic range compensation for scanning electron microscope imaging system." Scanning 37, no. 6 (May 13, 2015): 381–88. http://dx.doi.org/10.1002/sca.21226.

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43

Sim, K. S., V. Teh, and M. E. Nia. "Adaptive noise Wiener filter for scanning electron microscope imaging system." Scanning 38, no. 2 (July 31, 2015): 148–63. http://dx.doi.org/10.1002/sca.21250.

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44

Sim, K. S., N. S. Kamel, and H. T. Chuah. "Autoregressive Wiener filtering in a scanning electron microscopy imaging system." Scanning 27, no. 3 (December 7, 2006): 147–53. http://dx.doi.org/10.1002/sca.4950270308.

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45

Roorda, Robert D., Alfonso C. Ribes, Savvas Damaskinos, A. E. (Ted) (Ted) Dixon, and E. Roland Menzel. "A Scanning Beam Time-Resolved Imaging System for Fingerprint Detection." Journal of Forensic Sciences 45, no. 3 (May 1, 2000): 14729J. http://dx.doi.org/10.1520/jfs14729j.

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46

Sinha, Sumedha P., Mitchell M. Goodsitt, Marilyn A. Roubidoux, Rebecca C. Booi, Gerald L. LeCarpentier, Christine R. Lashbrook, Kai E. Thomenius, Carl L. Chalek, and Paul L. Carson. "Automated Ultrasound Scanning on a Dual-Modality Breast Imaging System." Journal of Ultrasound in Medicine 26, no. 5 (May 2007): 645–55. http://dx.doi.org/10.7863/jum.2007.26.5.645.

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47

J B, Jeeva, Jim Elliot, and Megha Singh. "Optical Scanning System for Imaging of Heterogeneity in Biological Tissues." ECS Transactions 107, no. 1 (April 24, 2022): 18045–58. http://dx.doi.org/10.1149/10701.18045ecst.

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A non-invasive hand-held optical probe for imaging of biological tissues consists of nine units. Each unit is equipped with one red LED and three photodetectors placed at distances 7, 12, and 17 mm from the source along the x-axis. For testing, three phantoms of paraffin wax are embedded with solid inhomogeneity placed at various depths. Human biological tissues consisting of right index finger, four fingers of the same hand, and a part of the forearm below elbow joint are used. The data on optical backscattering are collected by moving the probe on the surface of phantom/tissue and after processing the respective images are obtained. Three images of the index finger show the tissue structural variation in various layers, which are in agreement with anatomical details and radiograph of the finger. The tissue details of four fingers are in agreement with that of individual finger. Similarly, the three images of the forearm show the structural variation. These observations suggest that the present technique may be used to detect tissue compositional changes below the skin.

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48

Guo, Dongbing, Chunhui Wang, Baoling Qi, Yu Zhang, and Qingyan Li. "A Study of Correction to the Point Cloud Distortion Based on MEMS LiDAR System." Applied Sciences 11, no. 5 (March 9, 2021): 2418. http://dx.doi.org/10.3390/app11052418.

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Active imaging technology can perceive the surrounding environment and obtain three-dimensional information of the target. Among them, light detection and ranging (LiDAR) imaging systems are one of the hottest topics in the field of photoelectric active imaging. Due to the small size, fast scanning speed, low power consumption, low price and strong anti-interference, a micro-electro-mechanical system (MEMS) based micro-scanning LiDAR is widely used in LiDAR imaging systems. However, the imaging point cloud will be distorted, which affects the accurate acquisition of target information. Therefore, in this article, we analyzed the causes of distortion initially, and then introduced a novel coordinate correction method, which can correct the point cloud distortion of the micro-scanning LiDAR system based on MEMS. We implemented our coordinate correction method in a two-dimensional MEMS LiDAR system to verify the feasibility. Experiments show that the point cloud distortion is basically corrected and the distortion is reduced by almost 72.5%. This method can provide an effective reference for the correction of point cloud distortion.

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49

Tian, Zhao Shuo, Lan Jun Sun, Li Bao Liu, Zi Hao Cui, and Shi You Fu. "Study on One-Dimensional Scanning Semiconductor Lidar." Applied Mechanics and Materials 284-287 (January 2013): 2124–27. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2124.

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Forward looking collision avoidance radar has been extensively researched by domestic and external. Two-dimensional scanning and controlling method can be applied to front-visual automobile collision avoidance lidar to acquire intensity image and range profile of the targets. But it has some disadvantages of complex system, large volume, high cost and it is difficult in practical applications. In comparison to two-dimensional scanning image system, one-dimensional scanning image lidar cannot reconstruct 3D image of target, whereas the imaging speed is much more rapid due to less scanning points. In this work, a one-dimensional scanning semiconductor imaging lidar system was developed, which was composed of laser system, optical system, scanning system, detecting system and signal processing system. Real-time intensity images of black and white stripe targets were obtained in the laboratory. The study results provided foundation for further practical application. This lidar system owns the advantages of simple structure, high speed imaging, low cost, etc. It can be promisingly applied in forward looking automotive collision avoidance lidar system.

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50

Zhang, Yu Quan, Yan Tao Zhu, Bao Dong Lou, and Qi Zhang. "A Design of Digital Imaging System Based on Underwater Laser Line-Scanning." Applied Mechanics and Materials 490-491 (January 2014): 556–59. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.556.

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The digital imaging technology based on underwater laser line-scanning is one of the developing and effective technologies for underwater electro-optical imaging. According to the requirements of ocean salvages, rescues and marine resources explorations, the technical features of the digital imaging system are analyzed comprehensively, the structural characteristics are discussed and the hardware components are introduced. The design gives the supports to develop the digital imaging system using underwater laser line-scanning technology and has great significance for application.

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