摘要
图像增强算法作为图像预处理的一个重要环节,其主要目的是实现消除图像随机噪声,改善图像质量。传统的直方图均衡化增强方法实质以减少图像灰度级来换取对比度的加大,造成图像细节部分信息的丢失,影响了识别效果。运用对比度自适应直方图均衡化(CLAHE)算法实现薄膜图像灰度增强,并通过对处理后的图像质量进行客观评价,证明了该算法相对于传统直方图均衡化算法具有明显优势。
Image enhancement algorithms play an important part in image preprocessing,whose main aim is to achieve elimination of image random noise and improve image quality.The traditional histogram equalization enhancement method to reduce the image gray level in real terms in exchange for increased contrast,resulting in a loss of image detail of the information and impact of the recognition effect.In this paper,the CLAHE grayscale image enhancement algorithm to be used,and through the processed image quality objective evaluation proved that the algorithm compared with the traditional histogram equal- ization algorithm has obvious Superiority.
出处
《工业控制计算机》
2014年第2期52-53,56,共3页
Industrial Control Computer
