4.7 Article

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

期刊

OPTICS AND LASER TECHNOLOGY
卷 44, 期 2, 页码 328-336

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.optlastec.2011.07.009

关键词

Image enhancement; Top-hat transform; Mathematical morphology

资金

  1. National Natural Science Foundation of China [60902056]
  2. Civil Aviation United Foundation of National Natural Science Foundation of China [60832011]
  3. Aeronautical Science Foundation of China [20090151007]
  4. Weishi Foundation of BUAA [YWF-11-03-Q-065]

向作者/读者索取更多资源

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.

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