关键词: 小波变换, 中医, 舌象, 边缘检测

Abstract: Aiming at the conditions that the common edge detection algorithm is more sensitive to noise, obtained edge is not fine, and prone to false edge or edges overlapping, combined with traditional Chinese medicine tongue image feature, based on wavelet transform edge detection algorithm, improved wavelet transform edge detection algorithm is proposed. The algorithm calculates adjacent difference bit-by-bit based on the images of each row, column edge information, and detects wavelet extremum between potential difference. The experimental result proves that this method can effectively solve the contradiction between the traditional edge detection algorithm for removing noise and obtaining the fine edge, make the edges overlap phenomenon greatly reduced, thereby obtaining the ideal result of edge detection, laying a good foundation for the tongue area segmentation.

Key words: wavelet transform, traditional Chinese medicine, tongue image, edge detection