Summary on Thangka Image Segmentation

Image segmentation is a basic task in the field of computer vision and image processing. At present, researchers use existing image segmentation technology to analyze and detect Thangka images, extract interesting objects, or obtain potential damaged areas to repair damaged areas in the next step. This article mainly introduces the traditional image segmentation algorithm, the current popular Deep learning algorithm, and the application of these algorithms in Thangka image processing. Although the structure of the Thangka image is relatively simple, it is rich in color information and complex in texture. It is particularly important to find a suitable method for segmenting the Thangka image. At present, the application in the special field of image processing still needs further in-depth research, which is the future development trend.