Self-adaptive histogram equalization image enhancement based on canny operator

Ya-ni Du; Huixin Zhou; Zhen-hua Ma; Yue Yu; Han-lin Qin; Wei Tan

doi:10.1117/12.2285571

24 October 2017 Self-adaptive histogram equalization image enhancement based on canny operator

Ya-ni Du, Huixin Zhou, Zhen-hua Ma, Yue Yu, Han-lin Qin, Wei Tan

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104624O (2017) https://doi.org/10.1117/12.2285571
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

Traditional histogram equalization method always leads to the gray level reduction and loss of details. In this paper, an efficient and self-adaptive image enhancement algorithm is proposed based on canny operator and histogram equalization. The canny operator is used to extract the detail information which could be preserved in the enhanced image. The shortcomings of histogram equalization can thus be overcome. The experimental results with infrared images show that our method can preserve more image details and improve the image contrast and suppress noise effectively, which indicates a better performance for infrared image enhancement.

Citation Download Citation

Ya-ni Du, Huixin Zhou, Zhen-hua Ma, Yue Yu, Han-lin Qin, and Wei Tan "Self-adaptive histogram equalization image enhancement based on canny operator", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624O (24 October 2017); https://doi.org/10.1117/12.2285571

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