Study of stone detection method based on edge extraction and track
基于边界提取和跟踪的石块检测方法研究

In order to realize a stone detection based on machine vision, SUSAN operator was used to segment an original image. The areas where stones may exist could be obtained by using edge track filter in the segmented image. The area in the original image could be dwindled by using a segmentation method based on invariable moments. A grads image could be obtained by using Sobel operator to enhance the edge of this area. The grads image was segmented and filtered by using edge track. The stone position in the original image could be acquired by coordinating projection for the grads image. Experiment results show that the proposed method is characterized by a definite adaptability to environment and real-timeness.