Application of Grey Relation Analysis in Image´s Edge Detection of Pests in Stored Grain

There are heavy loss because of pests in stored grain. The detection method of pests in stored grain is always investigated. Researching the harmful stored grain insects on-line examination system, not only has the important academic value, but also has the broad application prospect. The method based on image recognition is often discussed. With development of computer technology, information processing, pattern recognition, intelligence detection, detection method based on image recognition develops fast and becomes main direction of grain pests intelligence detection. This paper puts forward an edge detection algorithm based on grey relation analysis. At first the reference series and compare series are defined. Then the relevant coefficients between the reference series and compare series are calculated to every pixel. Finally, the edge detection is processed and its application in imagepsilas of pests in stored grain is discussed. The examples show that the method can detect the image´s edge of pests in stored grain better.