Region-of-interest image edge detection based on histogram

The functionality of region-of interest(ROI) image edge detection is very important in applications where certain parts of the image are of higher importance than others. However, at present, most algorithms are designed for the whole image detection, which will affect the ROI edge detection performance. In this paper, an image edge detection algorithm based on ROI extraction is presented. The new algorithm first chooses the ROI partitioning threshold using the proposed histogram modification. Then, it segments the ROI from the whole image according to the new partitioning threshold. Finally, an optimal edge detection operator is selected to complete the ROI edge detection. Experimental results show that the new algorithm can better support the ROI edge extraction than those whole-image de