A genetic algorithm for image segmentation

被引：29
作者：
Lo Bosco, G [1 ]
机构：
[1] Univ Palermo, Dipartimento Matemat & Applicaz, I-90123 Palermo, Italy
来源：
11TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS | 2001年
关键词：
D O I：
10.1109/ICIAP.2001.957019
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The paper describes a new algorithm for image segmentation. It is based on a genetic approach that allow us to consider the segmentation problem as a global optimization problem (GOP). For this purpose a fitness function, based on the similarity between images, has been defined. The similarity is function of both the intensity and spatial position of pixels. Preliminary result, obtained using real images, show a good performance of the segmentation algorithm.
引用
收藏
页码：262 / 266
页数：5
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