頁籤選單縮合
題 名 | An Evolutionary Snake Model for Ultrasound Image Segmentation: A Preliminary Study |
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作 者 | Chen,Chung-ming; Lu,Horng-shing; Lin,Yu-chen; | 書刊名 | 醫學工程 |
卷 期 | 10:2 1998.04[民87.04] |
頁 次 | 頁58-66 |
分類號 | 416.13 |
關鍵詞 | Ultrasound images; Snake-balloon model; Evolutionary concept; Image segmentation; Corner problem; |
語 文 | 英文(English) |
英文摘要 | Active contour model, also known by the nickname, snake, is a powerful tool for image segmentation. Since it provides continuous boundaries for regions of interest, a snake model has the advantage over edgedetecting approaches for segmentation in that no edge linking would be required. Powerful as it is, the snake model suffers several cons, e.g., corner fitting problems easily trapped by noise pixels, etc., which limit its usage, especially, on a noisy image. With the ultimate goal to accomplish segmentation on a noisy image composed of arbitrary corner shapes, this paper proposes a new snake model, namely, evolutionary snake-balloon model, to solve the corner-fitting problem, which is a common problem in most snake algorithms. The key idea is to decompose the snaxels (control points) into subsets and perform the snake deformation one subset ofter another. The evolutionary model is an effective approach to catching corner points while the snake is moving toward the desired boundaties. In addition to the evolutionary concept, a new adaptive methodology is proposed in this paper to detertmine the weighting factor of each energy term such that the snake may cope with local minimums more effectively. Experiments have been carried out on synthetic images with random noises and ultrasound images to verify the proposed evolutionary snake-balloon model. |
本系統中英文摘要資訊取自各篇刊載內容。