Construction Site Image Enhancement Based on Multi-scale Fusion and Fractional Differential
Images from construction sites often have color bias,low contrast and blurred texture,making it impossible to obtain a good human visual experience and correct machine vision processing results.Therefore,an image enhancement algorithm based on multiscale fusion and adaptive fractional differentiation is proposed.In this paper,the multi-scale fusion algorithm and the adaptive fractional differential algorithm are improved according to the texture fuzzy feature of the site image,in the HSV color space,only the V-channel components are differentiated by adaptive fractional order and fused with the original image,it can enhance and weaken the artifacts without changing the original color.The experimental results show that the enhanced image has more natural hue,higher contrast and better detail expression ability,which is better than other image enhancement algorithms.The method proposed in this article can quickly and efficiently enhance low-quality construction site images,thereby improving the accuracy and speed of subsequent machine vision processing,and playing an important role in solving the problem of poor construction site image quality.
NETL
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