基于演化Agent的图象特征提取方法

A Method for Extracting Image Feature Based on Evolutionary Agent

图象的特征 ,如直线、曲线、边界等 ,可以看作是一系列特征像素的集合 ,提取所需的图象特征也就是要找出符合条件的特征像素 .本文介绍了一种基于Agent的图象特征提取新方法 .在该方法中 ,Agent在目标图象中自动搜索特征像素 ,从而进行图象的特征提取 .该方法的最大特点是分布式的、自底向上的 ,而且易于用硬件或软件来实现 .该方法在实验图象中取得了满意的效果 .

Image features are often mathematically defined in terms of the gray-level intensity at image pixels. The optimality of image feature extraction is to find all the feature pixels. This paper presents a new approach to image feature extraction which utilizes agents, in this approach, the autonomous agents extract features by finding and marking at the feature pixels. The approach has the characteristics of bottom up, distributed, and it is easy to be implemented by software and hardware. Experiments show that it is an efficient method.