Multi Scale Top-hat Transform Based Algorithm for Image Enhancement

摘要：

To efficiently enhance images, a multi scale top-hat transform based algorithm is proposed in this paper. Firstly, the multi scale white and black regions are extracted by using structuring elements with the same shape and increasing sizes. Then, two types of multi scale image features, which are multi scale white and black image regions at each scale and multi scale detail image regions between neighboring scales, are used to form the final extracted white and black image regions. Finally, the image is enhanced through enlarging the contrast between the extracted white and black image regions. Experimental results on images from different applications verified that the proposed algorithm could efficiently enhance the contrast and image details. And, the proposed algorithm produces very few noise regions. Therefore, the proposed algorithm could be widely used in different applications.

关键词： image enhancement multi scale top-hat transform mathematical morphology

作者: Xiangzhi Bai Fugen Zhou

作者单位: Image Processing Center Beijing University of Aeronautics and Astronautics Beijing 100191, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 797-800

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）