摘要
以动态连续图像的实时识别与定位为应用背景 ,提出了一种简单的快速的目标识别定位算法。该算法以列扫描灰度特征差异为基础 ,同时研究了灰度峰谷点的特征 ,使该算法不仅可以快速地识别出简单的目标 ,而且可以快速地识别出比较复杂的目标。
With the real tiem detection of dynamic seguential industrial images as the application background,a simple algorithm for the fast object recognition and detection is presented in this article.Based on the gray characteristic difference of row scanning and drawing on the research into the characteristics of gray apex and valley,this algorithm can detect both simple object and relatively complex object guickly.The fastness of this algorithm in detection has been proved by a series of experiments.
出处
《武汉科技大学学报》
CAS
2001年第4期403-407,共5页
Journal of Wuhan University of Science and Technology