@Article{EAJAM-2-2,
author = {},
title = {Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours},
journal = {East Asian Journal on Applied Mathematics},
year = {2012},
volume = {2},
number = {2},
pages = {150--169},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2079-7370},
doi = {https://doi.org/10.4208/eajam.090312.190412a},
url = {https://global-sci.com/article/82843/coefficient-of-variation-based-image-selective-segmentation-model-using-active-contours}
}