摘要
图像增强是图像预处理中的一个重要环节,通过对图像的整体或局部特征进行一定的优化,凸显增强图像中的有用信息。本文通过对直方图均衡化、直方图规定化以及图像边缘增强算法的分析和实验,给出了相应的处理策略和实际应用效果。实验表明:三种增强技术均能达到增强图像的效果,但是各自有更适合的应用场合。
Image enhancement is an important part of image preprocessing. Through the optimization of the whole or local fea- tures of the image, it is helpful to enhance the useful information in the image. In this paper, through the analysis of Histogram Equalization, Histogram Specification and Image Edge Enhancement Algorithm, the corresponding processing strategy and practical application effect are given. Experiments show that the three enhancements can achieve the effect of enhancing the image,hut each has a more suitable application.
出处
《科学技术创新》
2017年第19期119-120,共2页
Scientific and Technological Innovation
关键词
图像增强
灰度
归一化
梯度
Image Enhancement
Grayscale
Normalization
Gradient