Application of wavelet multi-scale edged algorithm on power plant rubber ball edge detection

Multi-scale edge detection algorithm, which is based on wavelet transform, is applied to the edge detection of power plant rubber balls. Firstly, the rubber ball image should be decomposed by wavelet transform. Secondly, the useful high-frequency component is detected after the noise has been removed through wavelet transform soft threshold way. Then fast wavelet multi-scale edge algorithm is applied to high-frequency edge information extraction. Finally, according to the edge image, rubber ball characteristics can be obtained. The experimental results show that this method can effectively suppress noise, get edge features of high accuracy, and so on. So it is an effective method for power plants rubber ball edge detection.