Edge detection of rubbing text images based on wavelet transform
基于小波变换的拓片文字边缘检测*

The text images obtained through rubbing were featured by many fuzzy details, bad effect and so on, so it might lose more details in the traditional handling process.Proposed a new algorithm of the rubbing text image edge detection and enhancement based on dyadic wavelet transform. Firstly,transformed the rubbing text image using dyadic wavelet. Then combined with the property of cross-scale transmission for wavelet transform modulus value to extract enhance and refine the multi-scale edge. Experiments show this algorithm overcomes the shortcomings of traditional method and weakens the contradiction between the noise suppression and the accuracy of detecting edge details, so it has better practicality.