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Volume 8, Issue 2
Bilateral Intensity Fitting Energy for Image Segmentation

Yan Wang, Chuanjiang He, Xiaolin Li, Hao Chen & Meng Li

East Asian J. Appl. Math., 8 (2018), pp. 296-312.

Published online: 2018-05

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  • Abstract

We introduce a bilateral intensity fitting active contour model, which takes into consideration both the space distance and local intensity variation. It demonstrates flexible contour initialisation in handing intensity inhomogeneity, efficient segmentation, robustness to high noise, and ability to work with weak boundaries and complex background. Experiments with synthetic and real images show high efficiency of the model.

  • AMS Subject Headings

65M10, 78A48

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COPYRIGHT: © Global Science Press

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@Article{EAJAM-8-296, author = {}, title = {Bilateral Intensity Fitting Energy for Image Segmentation}, journal = {East Asian Journal on Applied Mathematics}, year = {2018}, volume = {8}, number = {2}, pages = {296--312}, abstract = {

We introduce a bilateral intensity fitting active contour model, which takes into consideration both the space distance and local intensity variation. It demonstrates flexible contour initialisation in handing intensity inhomogeneity, efficient segmentation, robustness to high noise, and ability to work with weak boundaries and complex background. Experiments with synthetic and real images show high efficiency of the model.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.150816.160118a}, url = {http://global-sci.org/intro/article_detail/eajam/12206.html} }
TY - JOUR T1 - Bilateral Intensity Fitting Energy for Image Segmentation JO - East Asian Journal on Applied Mathematics VL - 2 SP - 296 EP - 312 PY - 2018 DA - 2018/05 SN - 8 DO - http://doi.org/10.4208/eajam.150816.160118a UR - https://global-sci.org/intro/article_detail/eajam/12206.html KW - Image segmentation, active contour, level set method, bilateral filtering, intensity inhomogeneity. AB -

We introduce a bilateral intensity fitting active contour model, which takes into consideration both the space distance and local intensity variation. It demonstrates flexible contour initialisation in handing intensity inhomogeneity, efficient segmentation, robustness to high noise, and ability to work with weak boundaries and complex background. Experiments with synthetic and real images show high efficiency of the model.

Yan Wang, Chuanjiang He, Xiaolin Li, Hao Chen & Meng Li. (2020). Bilateral Intensity Fitting Energy for Image Segmentation. East Asian Journal on Applied Mathematics. 8 (2). 296-312. doi:10.4208/eajam.150816.160118a
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