Noise Image Edge Detection Algorithm Based on Wavelet Transform

Abstract

Abstract:

Focusing on the problem of noise removal is not complete and edge position is not accurate, this paper presents an improved algorithm for detecting noisy image edge.

The algorithm first improved the gradient algorithm at the time of detecting the edge used by the wavelet transform modulus maxima according to the norm’s nature. Then we used

the improved threshold method which was proposed in this paper to the edge image, and after connecting the image, it obtained the final image edge. Through computer simulation

to validate the algorithm, experimental results show that the algorithm can get the ideal edge image information in noise image, and achieve the bidirectional balance of de

noising and edge precise positioning. The detection algorithm is superior to the traditional method, and it also improves in the aspect of detection effect as well.

Key words: wavelet transform, image processing, edge detection, noise image, gradient, threshold method

CLC Number:

TP391.41

HAO Hongzhuan, ZHANG Weiqiang. Noise Image Edge Detection Algorithm Based on Wavelet Transform[J]. Computer and Modernization.

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Noise Image Edge Detection Algorithm Based on Wavelet Transform

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