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小木蟲論壇-學術科研互動平臺 » 學術交流區(qū) » 論文投稿 » 其他 » 求幫助查詢文章是否SCI收錄
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求幫助查詢文章是否SCI收錄 已有2人參與
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求幫助查詢這篇文章是否SCI收錄？謝謝。 Wang H , Du Y , Han J . An integrated two-stage approach for image segmentation via active contours. Multimedia Tools and Applications, 2020:1-19. 原文鏈接：https://link.springer.com/articl ... -020-08950-2#citeas |
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An integrated two-stage approach for image segmentation via active contours 作者:Wang, H (Wang, Hui)[ 1 ] ; Du, YQ (Du, Yingqiong)[ 2 ] ; Han, J (Han, Jing)[ 1 ] MULTIMEDIA TOOLS AND APPLICATIONS DOI: 10.1007/s11042-020-08950-2 Early access icon在線發(fā)表日期: MAY 2020 文獻類型:Article; Early Access 查看期刊影響力 摘要 A novel integrated two-stage approach is proposed for image segmentation, where the edge, global and local region information of images are in turn incorporated to define the intensity fitting energy. In the first stage, the Chan-Vese model flexibly assimilates the edge indicator function in the beginning, and then the Laplace operator is introduced to regularize the level set function when minimizing the energy functional. As an edge-based and global region-based active contour, it can be inclined to rapidly produce a coarse segmentation result. In the second stage, we further segment the image by absorbing the local region fitting energy, where its initialization is acquired by the final active contour of the first stage. In addition, we present a generalized level set regularization term, which efficiently eliminates the periodically re-initialization procedure of traditional level set methods and maintains the corresponding signed distance property. Compared with the first stage, the local object details are accurately segmented in the second stage, which can acquire an accurate segmentation result. Qualitative and quantitative experimental results demonstrate the accuracy, robustness and efficiency of our approach with applications to some synthetical and real-world images. 關鍵詞 作者關鍵詞:Image processing; Image segmentation; Active contour model; Level set method KeyWords Plus:LEVEL SET EVOLUTION; DRIVEN; MODEL; ALGORITHMS; EFFICIENT; SNAKES 作者信息 通訊作者地址: Anshun Univ, Sch Math & Phys, Anshun 561000, Guizhou, Peoples R China. 通訊作者地址: Wang, H (corresponding author) Anshun Univ, Sch Math & Phys, Anshun 561000, Guizhou, Peoples R China. 地址: [ 1 ] Anshun Univ, Sch Math & Phys, Anshun 561000, Guizhou, Peoples R China [ 2 ] Anshun Univ, Sch Resources & Environm Engn, Anshun 561000, Guizhou, Peoples R China 電子郵件地址:wanghui561403@163.com 基金資助致謝 基金資助機構顯示詳情 授權號 Union Program of Science Technology of Guizhou Province Anshun Government Anshun University LH20157699 Natural Science Research Foundation of Guizhou Education Department KY2018034 KY2018070 National Natural Science Foundation of China 11601010 查看基金資助信息 出版商 SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 類別 / 分類 研究方向:Computer Science; Engineering Web of Science 類別:Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering, Electrical & Electronic 文獻信息 語言:English 入藏號: WOS:000529768200002 ISSN: 1380-7501 eISSN: 1573-7721 其他信息 IDS 號: LI9AD Web of Science 核心合集中的 "引用的參考文獻": 37 Web of Science 核心合集中的 "被引頻次": 0 |
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