A segmentation method for spotted-partten damaged Thangka image combining grayscale morphology with maximum entropy threshold

摘要

Before inpainting damaged Thangka image using digital technology, it's necessary to segment the damaged regions. A segmentation algorithm is proposed to segment the spotted regions of damaged Thangka mage, which combines grayscale morphology with maximum entropy threshold method. First of all, the mathematical morphology is used to act on RGB channels respectively in order to segment the tiny spots. Afterwards, maximum entropy threshold method is applied to segment the large spots. Finally, the above results are merged. The final segmentation result is achieved. Experimental results demonstrate the effectiveness of the proposed algorithm.