基于目标与背景信息分割的图象增强算法

Image Enhancement Algorism Based on Information Segmentation of Target Subject and Its Background

为提高图片对比度,突出目标区域,解决图像较暗、对比度较差、目标区域模糊不清、难于对目标进行分析和识别,以致不能做出正确判断的问题。将图像中的目标与背景分离,并对这两部分的灰度值分别进行处理,以便突出目标,抑制背景,并以X光片为例进行仿真实验。经实验证明,该算法能实现图像增强,可以增强目标区域,抑制背景区域,从而增强图像的对比度,使目标区域从背景区域中突出出来,有利于对图像进行观察、分析、判断和处理。

The main object is to improve image contrast, highlight the target area, and solve the poor contrast, the obscure target area, and the difficulty to analyze, so that the right judgmen darker image, ts can be made to identify the problem. The image of the target, the background separation, and the two parts of the gray values were processed in order to highlight the target and inhibit the background, so that people or machines can make a better analysis and processing. And the X-ray image is used as an example simulation. The experiments show that the algorithm can achieve image enhancement, can enhance the target area, can inhibit the background region, thereby enhancing the image contrast, the target area stand out from the background area, the image will help us to observe, analyze, judge and process.