Relevant bibliographies by topics / Shape-constrained active contours

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Shape-constrained active contours'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Shape-constrained active contours"

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Wang, Junyan, Sai-Kit Yeung, and Kap Luk Chan. "Matching-constrained active contours with affine-invariant shape prior." Computer Vision and Image Understanding 132 (March 2015): 39–55. http://dx.doi.org/10.1016/j.cviu.2014.11.002.

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Huang, Xianjue, Jun Wang, and Zhiyong Li. "3D carotid artery segmentation using shape-constrained active contours." Computers in Biology and Medicine 153 (February 2023): 106530. http://dx.doi.org/10.1016/j.compbiomed.2022.106530.

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Ray, N., S. T. Acton, and K. Ley. "Tracking leukocytes in vivo with shape and size constrained active contours." IEEE Transactions on Medical Imaging 21, no. 10 (2002): 1222–35. http://dx.doi.org/10.1109/tmi.2002.806291.

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Wang, Yin, and Han Jiang. "A Nonparametric Shape Prior Constrained Active Contour Model for Segmentation of Coronaries in CTA Images." Computational and Mathematical Methods in Medicine 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/302805.

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We present a nonparametric shape constrained algorithm for segmentation of coronary arteries in computed tomography images within the framework of active contours. An adaptive scale selection scheme, based on the global histogram information of the image data, is employed to determine the appropriate window size for each point on the active contour, which improves the performance of the active contour model in the low contrast local image regions. The possible leakage, which cannot be identified by using intensity features alone, is reduced through the application of the proposed shape constra
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Ray, N., and S. T. Acton. "Motion Gradient Vector Flow: An External Force for Tracking Rolling Leukocytes With Shape and Size Constrained Active Contours." IEEE Transactions on Medical Imaging 23, no. 12 (2004): 1466–78. http://dx.doi.org/10.1109/tmi.2004.835603.

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Le, T. Hoang Ngan, and Marios Savvides. "A novel Shape Constrained Feature-based Active Contour model for lips/mouth segmentation in the wild." Pattern Recognition 54 (June 2016): 23–33. http://dx.doi.org/10.1016/j.patcog.2015.11.009.

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Liao, Xiangyun, Zhiyong Yuan, Qi Zheng, Qian Yin, Dong Zhang, and Jianhui Zhao. "Multi-Scale and Shape Constrained Localized Region-Based Active Contour Segmentation of Uterine Fibroid Ultrasound Images in HIFU Therapy." PLoS ONE 9, no. 7 (2014): e103334. http://dx.doi.org/10.1371/journal.pone.0103334.

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MINNAL, V. "COMPUTER AIDED ANALYSIS OF LUNG CT BASED ON TRANSFORM DOMAIN FEATURES." International Journal of Computer Science and Informatics, April 2014, 244–49. http://dx.doi.org/10.47893/ijcsi.2014.1153.

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As Many CADx systems have been developed to detect lung cancer based on spatial domain features that process only the pixel intensity values, the proposed scheme applies frequency transform to the lung images to extract frequency domain features and they are combined with spatial features so that the features that are not revealed in spatial domain will be extracted and the classification performance can be tuned up. The proposed CADx comprises of four stages. In the first stage, lung region is segmented using Convexity based active contour segmentation. At second stage ROIs are extracted usin
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Dissertations / Theses on the topic "Shape-constrained active contours"

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Harish, Kumar J. R. "Shape-constrained Biomedical Image Segmentation and Applications." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5146.

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The detection, segmentation, and delineation of the targeted regions of interest in biomedical images are fundamental steps for computer-aided assessment and prescreening. In this thesis, we focus on shape-constrained active contours explicitly due to their shape-specificity, efficiency and low computational cost. In particular, they need fewer degrees-of-freedom than other active contour approaches. They are simpler to formulate and optimize. Variants of concentric shape-constrained active contour representations include circular active disc, elliptical active disc, and active oblong. The deg
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Book chapters on the topic "Shape-constrained active contours"

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Lievin, Marc, Patrice Delmas, Jason James, and Georgy Gimel’farb. "Lip Contour Extraction from Video Sequences under Natural Lighting Conditions." In Visual Speech Recognition. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-186-5.ch006.

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An algorithm for lip contour extraction is presented in this chapter. A colour video sequence of a speaker’s face is acquired under natural lighting conditions without any particular set-up, make-up, or markers. The first step is to perform a logarithmic colour transform from RGB to HI colour space. Next, a segmentation algorithm extracts the lip area by combining motion with red hue information into a spatio-temporal neighbourhood. The lip’s region of interest, semantic information, and relevant boundaries points are then automatically extracted. A good estimate of mouth corners sets active contour initialisation close to the boundaries to extract. Finally, a set of adapted active contours use an open form with curvature discontinuities along the mouth corners for the outer lip contours, a line-type open active contour when the mouth is closed, and closed active contours with lip shape constrained pressure balloon forces when the mouth is open. They are initialised with the results of the pre-processing stage. An accurate lip shape with inner and outer borders is then obtained with reliable quality results for various speakers under different acquisition conditions.
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Conference papers on the topic "Shape-constrained active contours"

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Juhun Lee, G. S. Muralidhar, G. P. Reece, and M. K. Markey. "A shape constrained parametric active contour model for breast contour detection." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346954.

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Zhao, Xuan, Yao Wang, and Gabor Jozsef. "Robust shape-constrained active contour for whole heart segmentation in 3-D CT images for radiotherapy planning." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7024999.

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