Objective Segmentation Based on Shape Prior and Contour Pre-positioning - 文章详情页

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The　segmentation　of　a　specific　object　in　a　single　frame　image　has　been　faced　with　the　problem　of　low　segmentation　accuracy　due　to　background　complexity　and　illumination　variation.　In　this　paper,　a　shape　prior　local　binary　fitting　(LBF)　based　on　contour　pre-positioning　was　proposed　for　segmentation　of　human　upper-limb　images.　Firstly,　the　upper-limb　contour　template　was　selected　and　pre-positioned　by　a　kind　of　shallow　convolutional　neural　network,　and　the　coarse　contour　was　obtained.　Then,　the　LBF　algorithm　based　on　a　prior　shape　was　used　to　evolve　the　coarse　contour,　and　the　precise　contour　was　obtained.　Experimental　results　show　that　the　success　rate　of　the　algorithm　is　over　90%,　which　shows　that　the　method　has　good　effect　on　the　segmentation　of　a　specific　object　in　a　single　frame　image　faced　with　background　complexity　and　illumination　variation.　©　2017,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.

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Contour pre-positioning; Local binary fitting (LBF); Shape prior; Upper-limb image segmentation

作者机构：

[ 1 ] [Ma, B.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Sun, G.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Zhang, J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Yan, Z.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Li, J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 6 ] [Liu, T.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 7 ] [Zhang, Y.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China

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