为了解决灰度图像对比度低而难以增强目标区域的问题,对传统的局部对比度增强算法进行优化,提出了多尺度形态学的局部对比度增强优化算法。该算法利用多尺度形态学算子,对原有局部对比度拉伸算法进行改进,通过建立形态学塔形和差别塔型,最后重建图像,以实现局部目标对比度增强。实验结果表明,提出的算法可以很好地增强灰度图像目标区域的对比度,应用前景广泛。

In order to solve the problem that it is difficult to enhance the target region of the gray image with low contrast, this paper makes some improvements on the traditional local contrast enhancement algorithm, and puts forward an Optimization algorithm for local contrast enhancement based on multi-scale morphology. To realize the local contrast enhancement of the images, The algorithm uses the multi-scale morphological operators to improve the original local contrast stretching algorithm, establishes morphological and difference pyramid tower, and finally reconstructs the image. Experimental results indicate that the proposed algorithm can enhance the contrast of the target area of gray image very well and has a wide application prospect.