It is a new approach to process the transmission line icing insulators field image by the method of image processing. However, due to the field environment of icing insulators is complex and harsh, the background of the field icing insulators image becomes complicated, contrast and sharpness and other factors becomes lower, which have seriously affected the timeliness and accuracy of its follow-up processing. Therefore, an algorithm of multi-scale wavelet transform is proposed to enhance the field icing insulators image under complex and harsh weather condition in this paper. Firstly, The RGB color image of icing insulators is converted to HSV space: H component, S component, V component; then the V component of this color space is enhanced through using the multi-scale wavelet transform in frequency domain, while taking advantage of the correlation coefficient, the S component is adaptively adjusted with the enhancement of V component; Finally, the processed H, S, V component images are converting to RGB space to synthesis target color image, obtaining a clear contrast image of icing insulators. The algorithm of this paper is compared with the enhancement algorithm of wavelet transform image in airspace. The experimental results show that this method can enhance the color and details at the same time, rule out the interference of complex weather, improve the insulator image contrast, definition substantially.
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