Image enhancement using multi scale image features extracted by top-hat transform

被引:145
作者
Bai, Xiangzhi [1 ]
Zhou, Fugen [1 ]
Xue, Bindang [1 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Image Proc Ctr, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Image enhancement; Top-hat transform; Mathematical morphology; MORPHOLOGICAL APPROACH; POINT TARGET; FILTER;
D O I
10.1016/j.optlastec.2011.07.009
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
To efficiently enhance images, a novel algorithm using multi scale image features extracted by top-hat transform is proposed in this paper. Firstly, the multi scale bright and dim regions are extracted through top-hat transform using structuring elements with the same shape and increasing sizes. Then, two types of multi scale image features, which are the multi scale bright and dim image regions at each scale and the multi scale image details between neighboring scales, are extracted and used to form the final extracted bright and dim image regions. Finally, the image is enhanced through enlarging the contrast between the final extracted bright and dim image features. Experimental results on images from different applications verified that the proposed algorithm could efficiently enhance the contrast and details of image, and produce few noise regions. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:328 / 336
页数:9
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