An edge detection method for infrared image based on grey relational analysis
Dongzhu Feng, Xin Wang, Yuhe Liu · 2008
Edge is the boundary between an object and its background. They represent the frontier for single objects. Therefore, if the edges of imagepsilas objects can be identified with precision, all the objects can be located and their properties such as area, perimeter, shape, etc, can be calculated. It is important to identify the precise edge in infrared imaging guidance system. In the full paper we explain in detail how to use the grey relational analysis effectively to detect the edge precisely. First, we use the grey relational analysis to finish the edge detection. During the edge detection, the formula of grey relational analysis is different from the traditional edge detection which also based on the grey relational analysis. And the value of the referential sequence is also different from the tranditional one. Then we use the Zhang-Suen thinning algorithm to get the skeleton of the edge. The result show that our method can detect and obtain more precise edge pixels. In all cases, our algorithm gives improved results when compared to some more popular edge detection methods.