Dynamic Fuzzy Inference System for Edge Detection of Stone Inscriptions

Abstract

The identification of stone inscriptions is of great significance to the study of Chinese characters and the exploration of ancient history. The identification and analysis of the stone inscriptions can determine the age when they belong, and can help to study archeology. At present, many fuzzy edge detection methods have been proposed, but most of them use the static fuzzy inference system for edge detection. In order to obtain better results, the membership function must be changed according to the image information. Therefore, to overcome this drawback, we proposed fuzzy logic-based edge detection algorithm with dynamic generation of fuzzy interface system (FIS). The algorithm is compared with the existing algorithms (Sobel, canny), and better results are achieved.