Extracting Salient Curves from Images: An Analysis of the Saliency Network

被引：0
|
作者：
T.D. Alter
Ronen Basri
机构：
[1] MIT AI Laboratory,Department of Applied Math.
[2] The Weizmann Inst. of Science,undefined
来源：
International Journal of Computer Vision | 1998年 / 27卷
关键词：
Image Processing; Artificial Intelligence; Computer Vision; Time Complexity; Computer Image;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The Saliency Network proposed by Shashua and Ullman (1988) is a well-known approach to the problem of extracting salient curves from images while performing gap completion. This paper analyzes the Saliency Network. The Saliency Network is attractive for several reasons. First, the network generally prefers long and smooth curves over short or wiggly ones. While computing saliencies, the network also fills in gaps with smooth completions and tolerates noise. Finally, the network is locally connected, and its size is proportional to the size of the image.
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页码：51 / 69
页数：18
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