Watershed distribution equipment infrared thermal image segmentation method based on the morphological marker

In the process of infrared thermal image segmentation of distribution equipment, efficiency of the segmentation is low; it is easy to appear the over-segmentation phenomenon and cannot better segment the anomaly region of infrared thermal. To solve this problem, starting from the basic principle of the watershed algorithm, an improved watershed algorithm based on morphological marker was proposed. Firstly, the algorithm operate morphological gradient for image to be segmented. Then it extracts the region minimum by using H-minima transform and use minima imposition technology to remark the gradient image. In the end, the marked gradient image was segmented by watershed algorithm. According to the experimental verification of MATLAB, this improved segmentation method has higher feasibility and can successfully extract anomaly region of the infrared thermal image.