Semantic segmentation by ways of interactive post-processing with active contours model
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Date
2017-04
Authors
Kubigenov, Darkhan
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Science and Technology
Abstract
Active contour has been proven to be effective at solving semantic segmentation of
images. However, the use cases of such approaches were mostly on trivial problems
with narrow utility. For instance, it was used for detecting tumors from MRI scans and
finding oil spills from aerial photographs. This thesis considers ways of making active
contour work for any kinds of images. Active contour is applied at post-processing
step on results from other algorithms.
Description
Keywords
images
Citation
Darkhan Kubigenov. Semantic segmentation by ways of interactive post-processing with active contours model. 2017. Department of Computer Science, School of Science and Technology, Nazarbayev University