基于CLAHE的铝模天花样本图像增强算法研究OACSTPCD

In the process of shooting aluminum mold ceiling pictures,dark light and insufficient exposure are the reasons for the overall low brightness of the picture,which makes the picture lose edge details.In order to improve the visual effect of the image,an improved histogram equalization technique called contrast limited adaptive histogram equalization(CLAHE)algorithm is designed.Start by the calculation of the initial histogram,the occurrence frequency of each pixel is recorded,and the initial histogram is obtained after summary.On the basis of the initial histogram,the normalized histogram and cumulative histogram are calculated and the mapping relationship is equalized,and then the results are written into the new image.The experimental results show that after CLAHE enhancement processing,the interference region is suppressed and the features in the image are highlighted.In comparison with histogram equalization algorithm alone,CLAHE can effectively improve the clarity and contrast of aluminum mold ceiling image.The algorithm is easy to be implemented,economical and cost-effective,and has practical application value.In comparison with the current mainstream algorithms,CLAHE algorithm is more effective.