Edge detection of license plate based on wavelet transform and quantum genetic algorithm

Yourui Huang; Hong Duan

doi:10.1117/12.751186

15 November 2007 Edge detection of license plate based on wavelet transform and quantum genetic algorithm

Yourui Huang, Hong Duan

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864B (2007) https://doi.org/10.1117/12.751186
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Edge detection is one of the most commonly used operations in image analysis of license plate. The classical edge detection algorithm based on wavelet transform utilizes a threshold to remove noise from license plate image, and then detects edge with wavelet transform. In the condition with strong noise, the classical edge detection algorithm often works not well enough. The proposed edge detection algorithm combines the wavelet transform and quantum genetic algorithm and significantly improves the result. Specifically, wavelet decomposition is applied to get a set of low and high frequency sub-images from image of license plate and quantum genetic algorithm is applied to optimize wavelet denoising threshold which removing the noise of the high-frequency sub-images, finally the edge image is obtained by reconstructing the high-frequency sub-images without noise. The efficiency of the method is better than the classical one and is proved by computer simulation.

Citation Download Citation

Yourui Huang and Hong Duan "Edge detection of license plate based on wavelet transform and quantum genetic algorithm", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864B (15 November 2007); https://doi.org/10.1117/12.751186

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KEYWORDS

Edge detection

Wavelet transforms

Genetic algorithms

Detection and tracking algorithms

Wavelets

Computer simulations

Denoising

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