Medical Endoscopic Image Segmentation Using Snakes(Image Processing, Image Pattern Recognition)
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概要
- 論文の詳細を見る
Image segmentation is an essential technique of image analysis. In spite of the issues in contour initialization and boundary concavities, active contour models (snakes) are popular and successful methods for segmentation. In this paper, we present a new active contour model, Gaussian Gradient Force snake (GGF snake), for segmentation of an endoscopic image. The GGF snake is less sensitive to contour initialization and it ensures a high accuracy, large capture range, and fast CPU time for computing an external force. It was observed that the GGF snake produced more reasonable results in various image types : simple synthetic images, commercial digital camera images, and endoscopic images, than previous snakes did.
- 社団法人電子情報通信学会の論文
- 2004-03-01
著者
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Lee Myoung
Department of Internal Medicine, Seoul National University College of Medicine, Cardiovascular Labor
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Yoon Sung
Department of Cardiology, School of Medicine, Keio University
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KIM Jeong
Department of Information Electronics Engineering, Ewha Womans University
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Lee M
Department Of Electrical And Electronic Engineering In Yonsei University
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LEE Hai
Department of Chemistry, Inha University
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Lee H
Department Of Electrical And Electronic Engineering In Yonsei University
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Lee Hai
Department Of Chemistry Inha University
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Yoon Sung
Department Of Biotechnology Dongseo University
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Kim Jeong
Department Of Anatomy Wonkwang University School Of Medicine
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Lee Myoung
Department Of Electrical And Electronic Engineering In Yonsei University
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Kim Jeong
Department Of Electronic Communication Engineering In Shinheung College
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