Visual perceptual edge linking based on two-level threshold
基于视觉感知的双层次阈值边缘连接方法

Edge is an important feature of image, but the edges obtained by the traditional edge detection usually are not continuous. Therefore, a two-level threshold edge linking based on visual perception with hysteresis was proposed, which employed the principal of human visual multi-level perception of edge linking. First, high and low thresholds were used to produce their threshold images respectively. Then, the difference between high and low threshold images was served to fuzzy edge image. After that, for each fuzzy edge point, several weighted visual perceptive factors were summed to judge whether it was a real edge or not. If it was a real one, then this fuzzy edge point would be added to high threshold image as an edge point. By this way, most essential edges were linked and closed edge boundary of object was generated. Simulation results show that the method can efficiently link gaps between edges. Compared with the traditional edge liking methods, the proposed method is fast and the effect of edge linking is favorable to meet the needs of edge linking demand in some applied cases.