Xiaojing Hu This email address is being protected from spambots. You need JavaScript enabled to view it.1, Yanyong Han1, and Rui Yang1

1School of Mechanical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, 450015 China


Received: March 7, 2022
Accepted: April 17, 2022
Publication Date: May 13, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202302_26(2).0009  


In the maintenance of outdoor power equipment, the enhancement and segmentation of infrared heat map is the key to the intelligent development of diagnosis and troubleshooting in the future. This paper presents a new model for enhancement and segmentation of infrared heat map of power equipment in complex environment. Retinex image enhancement model is improved by region joint prior information constraint and gamma transform. In this paper, multi-scale structure reserved smoothing filter is proposed, and the filter size is constrained by phase stretch transformation. The new model can not only estimate and compensate the hidden noise, increase the contrast of the infrared heat map, but also eliminate the filtering edge dispersion phenomenon, which is suitable for power equipment segmentation of various sizes. Experimental results show that compared with other algorithms, the new model can obtain more complete and high contrast infrared heat map in complex environment, and has the performance of removing most background interference.

Keywords: Retinex, Phase stretch transformation, image enhancement, multi-scale structure reserved smoothing filter


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