@Article{EAJAM-2-150, author = {}, title = {Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours}, journal = {East Asian Journal on Applied Mathematics}, year = {2018}, volume = {2}, number = {2}, pages = {150--169}, abstract = {

Most image segmentation techniques efficiently segment images with prominent edges, but are less efficient for some images with low frequencies and overlapping regions of homogeneous intensities. A recently proposed selective segmentation model often works well, but not for such challenging images. In this paper, we introduce a new model using the coefficient of variation as a fidelity term, and our test results show it performs much better in these challenging cases.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.090312.190412a}, url = {http://global-sci.org/intro/article_detail/eajam/10872.html} }