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J-GLOBAL ID:202402273017903937   Reference number:24A0212218

Image Segmentation Using Active Contours with Hessian-Based Gradient Vector Flow External Force

Hessianベース勾配ベクトル流外力によるアクティブ輪郭を用いた画像セグメンテーション【JST・京大機械翻訳】
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Volume: 22  Issue: 13  Page: 4956  Publication year: 2022 
JST Material Number: U7015A  ISSN: 1424-8220  CODEN: SENSC9  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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The gradient vector flow (GVF)...
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Graphic and image processing in general 
Reference (71):
  • Sahoo, P.K.; Soltani, S.; Wong, A.K.C.; Chen, Y.C. A Survey of Thresholding Techniques. Comput. Vis. Graph. Image Process. 1998, 41, 142-149.
  • Cai, W.L.; Chen, S.C.; Zhang, D.Q. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognit. 2007, 40, 825-838.
  • Kass, M.; Witkin, A.; Terzopoulos, D. Snakes: Active contour models. Int. J. Comput. Vis. 1988, 1, 321-331.
  • Shih, F.Y.; Cheng, S.X. Automatic seeded region growing for color image segmentation. Image Vis. Comput. 2005, 23, 877-886.
  • Yu, S.; Lu, Y.; Molloy, D. A Dynamic-Shape-Prior Guided Snake Model With Application in Visually Tracking Dense Cell Populations. IEEE Trans. Image Process. 2019, 8, 1513-1527.
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