Contrast Enhancement of Image Segmentation Based on Histogram

In the study of image contrast enhancement based on histogram,a gray histogram segmentation processing technology is put forward. By traditional contrast image histogram enhancement techniques such as Histogram Equalization( HE) and Linear Gray Transform( LGT),the image contrast is improved at the cost of reduced gray level,thus blurry target images and troubles in the subsequent further image processing. Subsection histogram technique proposed in this paper can avoid this problem by threshold segmentation method. The image gray histogram is divided into target section,transition section,and background section,respectively,and then the fusion processing. This technology can achieve grayscale image processing after the still distributed throughout the 0 ~ 255 gray interval,retaining detailed characteristics of target and background in the image,to avoid the poor visual effect of image gray level merger. The feasibility and superiority in the image details of this method is demonstrated.