Optimisation approaches in computer vision and image processing

被引：0
|
作者：
Sakaue, K [1 ]
Amano, A
Yokoya, N
机构：
[1] Electrotech Lab, Tsukuba, Ibaraki 3058568, Japan
[2] Hiroshima Univ, Hiroshima 7313194, Japan
[3] Nara Inst Sci & Technol, Grad Sch Informat Sci, Ikoma 6300101, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 1999年 / E82D卷 / 03期
关键词：
computer vision; image processing; optimization; relaxation; regularization; snakes; genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the authors present general views of computer vision and image processing based on optimization. Relaxation and regularization in both broad and narrow senses are used in various fields and problems of computer vision and image processing, and they are currently being combined with general-purpose optimization algorithms. The principle and case examples of relaxation and regularization are discussed; the application of optimization to shape description that is a particularly important problem in the field is described; and the use of a genetic algorithm (GA) as a method of optimization is introduced.
引用
收藏
页码：534 / 547
页数：14
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