Добірка наукової літератури з теми "Image segmentation tools"
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Статті в журналах з теми "Image segmentation tools"
MEZARIS, VASILEIOS, IOANNIS KOMPATSIARIS, and MICHAEL G. STRINTZIS. "STILL IMAGE SEGMENTATION TOOLS FOR OBJECT-BASED MULTIMEDIA APPLICATIONS." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 04 (June 2004): 701–25. http://dx.doi.org/10.1142/s0218001404003393.
Повний текст джерелаChandra De, Utpal, Madhabananda Das, Debashis Mishra, and Debashis Mishra. "Threshold based brain tumor image segmentation." International Journal of Engineering & Technology 7, no. 3 (August 22, 2018): 1801. http://dx.doi.org/10.14419/ijet.v7i3.12425.
Повний текст джерелаTippner, Aleš. "Development of segmentation algorithm based region growing for software GIS GRASS." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 1 (2010): 207–16. http://dx.doi.org/10.11118/actaun201058010207.
Повний текст джерелаStevens, Courtney R., Josh Berenson, Michael Sledziona, Timothy P. Moore, Lynn Dong, and Jonathan Cheetham. "Approach for semi-automated measurement of fiber diameter in murine and canine skeletal muscle." PLOS ONE 15, no. 12 (December 23, 2020): e0243163. http://dx.doi.org/10.1371/journal.pone.0243163.
Повний текст джерелаR, Asharani, and Naveen Kumar R. "Review on Brain Tumor Image Segmentation in Time-Frequency Domain." Journal of Image Processing and Artificial Intelligence 8, no. 3 (September 20, 2022): 1–6. http://dx.doi.org/10.46610/joipai.2022.v08i03.001.
Повний текст джерелаHe, Bing Song, Feng Zhu, and Yong Gang Shi. "Medical Image Segmentation." Advanced Materials Research 760-762 (September 2013): 1590–93. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1590.
Повний текст джерелаKang, Yan, Klaus Engelke, and Willi A. Kalender. "Interactive 3D editing tools for image segmentation." Medical Image Analysis 8, no. 1 (March 2004): 35–46. http://dx.doi.org/10.1016/j.media.2003.07.002.
Повний текст джерелаAtlasov, I. V., L. M. Bozhko, O. Ja Kravets, D. I. Mutin, and D. V. Popov. "Formation of a register of special technology objects based on integrating segmented images." Journal of Physics: Conference Series 2373, no. 2 (December 1, 2022): 022063. http://dx.doi.org/10.1088/1742-6596/2373/2/022063.
Повний текст джерелаOyebode, Kazeem Oyeyemi. "Leveraging Deep Learning and Grab Cut for Automatic Segmentation of White Blood Cell Images." Journal of Biomimetics, Biomaterials and Biomedical Engineering 58 (August 19, 2022): 121–28. http://dx.doi.org/10.4028/p-oj4d78.
Повний текст джерелаTa, Vinh-Thong, Olivier Lézoray, Abderrahim Elmoataz, and Sophie Schüpp. "Graph-based tools for microscopic cellular image segmentation." Pattern Recognition 42, no. 6 (June 2009): 1113–25. http://dx.doi.org/10.1016/j.patcog.2008.10.029.
Повний текст джерелаДисертації з теми "Image segmentation tools"
Rackham, Thomas. "Ultrasound segmentation tools and their application to assess fetal nutritional health." Thesis, University of Oxford, 2016. http://ora.ox.ac.uk/objects/uuid:5d102b18-dd32-4004-8aa5-b04242139daa.
Повний текст джерелаSkounakis, Emmanouil D. "Development of advanced 3D medical analysis tools for clinical training, diagnosis and treatment." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7967.
Повний текст джерелаRamme, Austin Jedidiah. "High throughput patient-specific orthopaedic analysis: development of interactive tools and application to graft placement in anterior cruciate ligament reconstruction." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2966.
Повний текст джерелаBishop, Courtney Alexandra. "Development and application of image analysis techniques to study structural and metabolic neurodegeneration in the human hippocampus using MRI and PET." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:2549bad2-432f-4d0e-8878-be9cce6ae0d2.
Повний текст джерелаBardera, i. Reig Antoni. "New medical registration and segmentation techniques using information-theoretic tools." Doctoral thesis, Universitat de Girona, 2008. http://hdl.handle.net/10803/7891.
Повний текст джерелаLa majoria de contribucions d'aquesta tesi són basades en Teoria de la Informació. Aquesta teoria tracta de la transmissió, l'emmagatzemament i el processament d'informació i és usada en camps tals com física, informàtica, matemàtica, estadística, biologia, gràfics per computador, etc.
En aquesta tesi, es presenten nombroses eines basades en la Teoria de la Informació que milloren els mètodes existents en l'àrea del processament d'imatges, en particular en els camps del registre i la segmentació d'imatges.
Finalment es presenten dues aplicacions especialitzades per l'assessorament mèdic que han estat desenvolupades en el marc d'aquesta tesi.
Medical imaging is an important focus of research. The development of new techniques that assist and enhance visual image interpretation in a timely and accurate manner is fundamental in real clinical environments.
Most of the contributions of this thesis are based on Information Theory. This theory deals with the transmission, storage and processing of information and it is used in fields such as physics, computer science, mathematics, statistics, economics, biology, computer graphics, etc.
In this thesis, several information theoretic tools have been presented in order to improve the existing methods in the image processing area, in particular in the image registration and segmentation fields.
Finally, two of the specialized applications for medical assessment which have been developed in the scope of this thesis are presented.
Mahmood, Muhammad Habib. "Motion annotation in complex video datasets." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/667583.
Повний текст джерелаLa segmentació del moviment es refereix al procés de separar regions i trajectòries d'una seqüència de vídeo en subconjunts coherents d'espai i de temps. En aquesta tesi hem creat un nou i multifacètic dataset amb seqüències de la vida real que inclou diferent número de moviments i fotogrames per seqüència i distorsions amb dades incomplertes. A més, inclou ground-truth en tots els fotogrames basat en mesures de trajectòria i regió. Hem proposat també una nova eina semiautomàtica per delinear les trajectòries en vídeos complexos, fins i tot en vídeos capturats amb càmeres mòbils. Amb una mínima anotació manual dels objectes, l'algoritme és capaç de propagar-la en tots els fotogrames. Durant les oclusions, la correcció de les etiquetes es realitza aplicant el seguiment de la màscara per a cada ordre de profunditat. Els resultats obtinguts mostren que el nostre enfocament ofereix resultats reeixits en una àmplia varietat de seqüències de vídeo.
Kinkar, Shilpa N. "Development and Application of Semi-automated ITK Tools Development and Application of Semi-automated ITK Tools for the Segmentation of Brain MR Images." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050505-103641/.
Повний текст джерелаNarayanan, Priya Lakshmi. "Development of a tool for automatic segmentation of the cerebellum in MR images of children." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/20262.
Повний текст джерелаHallenberg, Johan. "Robot Tool Center Point Calibration using Computer Vision." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9520.
Повний текст джерелаToday, tool center point calibration is mostly done by a manual procedure. The method is very time consuming and the result may vary due to how skilled the operators are.
This thesis proposes a new automated iterative method for tool center point calibration of industrial robots, by making use of computer vision and image processing techniques. The new method has several advantages over the manual calibration method. Experimental verifications have shown that the proposed method is much faster, still delivering a comparable or even better accuracy. The setup of the proposed method is very easy, only one USB camera connected to a laptop computer is needed and no contact with the robot tool is necessary during the calibration procedure.
The method can be split into three different parts. Initially, the transformation between the robot wrist and the tool is determined by solving a closed loop of homogeneous transformations. Second an image segmentation procedure is described for finding point correspondences on a rotation symmetric robot tool. The image segmentation part is necessary for performing a measurement with six degrees of freedom of the camera to tool transformation. The last part of the proposed method is an iterative procedure which automates an ordinary four point tool center point calibration algorithm. The iterative procedure ensures that the accuracy of the tool center point calibration only depends on the accuracy of the camera when registering a movement between two positions.
Ndlovu, Joram. "Branding as a strategic tool to reposition a destination a survey of key tourism stakeholders in Zimbabwe /." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-09242009-225847/.
Повний текст джерелаЧастини книг з теми "Image segmentation tools"
Heckel, Frank, Momchil I. Ivanov, Jan H. Moltz, and Horst K. Hahn. "Toward Automated Validation of Sketch-Based 3D Segmentation Editing Tools." In Image Analysis, 256–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_25.
Повний текст джерелаLi, Hang, Dan Li, Kailiang Zhang, and Chuangeng Tian. "Research on Image Segmentation of Complex Environment Based on Variational Level Set." In Simulation Tools and Techniques, 691–701. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72795-6_55.
Повний текст джерелаWielgosz, Maciej, Ernest Jamro, Dominik Żurek, and Kazimierz Wiatr. "FPGA Implementation of the Selected Parts of the Fast Image Segmentation." In Intelligent Tools for Building a Scientific Information Platform, 203–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24809-2_12.
Повний текст джерелаTang, Peng, and Weidong Jin. "Automatic Image Semantic Segmentation by MRF with Transformation-Invariant Shape Priors." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 216–26. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2663-8_23.
Повний текст джерелаCao, Chunhong, Chengyao Zhou, Jie Yu, Kai Hu, and Fen Xiao. "A Novel Active Contour Model Using Oriented Smoothness and Infinite Laplacian for Medical Image Segmentation." In Cognitive Internet of Things: Frameworks, Tools and Applications, 311–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04946-1_31.
Повний текст джерелаPiemonte, Andrea, and Gabriella Caroti. "Photogrammetric Techniques and Image Segmentation via Machine Learning as Supporting Tools in Paving Asphalt Mixtures Studies." In Communications in Computer and Information Science, 283–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_21.
Повний текст джерелаRubtsova, Julia. "Approach to Image-Based Segmentation of Complex Surfaces Using Machine Learning Tools During Motion of Mobile Robots." In Electromechanics and Robotics, 191–200. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2814-6_17.
Повний текст джерелаKlepac, Goran. "REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example." In Hybrid Soft Computing for Image Segmentation, 87–108. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47223-2_4.
Повний текст джерелаLerousseau, Marvin, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, et al. "Weakly Supervised Pan-Cancer Segmentation Tool." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 248–56. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87237-3_24.
Повний текст джерелаNoor, Norliza Mohd, Omar Mohd Rijal, Joel Chia Ming Than, Rosminah M. Kassim, and Ashari Yunus. "Regression as a Tool to Measure Segmentation Quality and Preliminary Indicator of Diseased Lungs." In Image and Video Technology, 502–11. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29451-3_40.
Повний текст джерелаТези доповідей конференцій з теми "Image segmentation tools"
"Image segmentation." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367108.
Повний текст джерелаPadfield, Dirk, and James Ross. "Validation tools for image segmentation." In SPIE Medical Imaging, edited by Josien P. W. Pluim and Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.812470.
Повний текст джерелаJackowski, Marcel P., Ardeshir Goshtasby, and Martin Satter. "Interactive tools for image segmentation." In Medical Imaging '99, edited by Kenneth M. Hanson. SPIE, 1999. http://dx.doi.org/10.1117/12.348501.
Повний текст джерела"Medical image segmentation." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367116.
Повний текст джерела"Image segmentation and detection." In 2010 2nd International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2010. http://dx.doi.org/10.1109/ipta.2010.5586832.
Повний текст джерела"Image segmentation and detection." In 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2012. http://dx.doi.org/10.1109/ipta.2012.6469490.
Повний текст джерела"Image segmentation and detection." In 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2014. http://dx.doi.org/10.1109/ipta.2014.7001932.
Повний текст джерелаWang Chongjun, Li Wu jun, Ding Lin, Tian Juan, and Chen Shifu. "Image segmentation using spectral clustering." In 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05). IEEE, 2005. http://dx.doi.org/10.1109/ictai.2005.74.
Повний текст джерелаAlvarez Padilla, Francisco Javier, Eloise Grossiord, Barbara Romaniuk, Benoit Naegel, Camille Kurtz, Hugues Talbot, Laurent Najman, Romain Guillemot, Dimitri Papathanassiou, and Nicolas Passat. "Multicriteria 3D PET image segmentation." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367162.
Повний текст джерела"Medical image segmentation and detection." In 2010 2nd International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2010. http://dx.doi.org/10.1109/ipta.2010.5586827.
Повний текст джерела