Catenary image enhancement method based on Curvelet transform with adaptive enhancement function
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School of Electrical Engineering and Electronic Information , Xihua University
Submission date: 2019-01-15
Final revision date: 2019-03-31
Acceptance date: 2019-05-06
Online publication date: 2019-05-07
Publication date: 2019-05-07
Corresponding author
Changdong Wu   

School of Electrical Engineering and Electronic Information , Xihua University
Diagnostyka 2019;20(2):3-10
In the process of catenary failure diagnosis system based on image processing technique, some catenary images present low contrast, which need to be enhanced. Curvelet transform has the high directional sensitivity and anisotropy, which is suitable for image enhancement because of its optimal sparse representation of image with rich details and edges. First, the catenary image is decomposed by Curvelet transform to get its high and low frequency coefficients, then adjust the high frequency coefficients using the enhancement function. Afterwards, combine the high frequency coefficients and low frequency coefficients by the inverse Curvelet transform, and thus to get the enhanced catenary image. In this paper, Curvelet transform is compared with the traditional enhancement methods. The experimental results show that the proposed method can effectively enhance the low contrast catenary images with the same resolution, the catenary insulator, arm, hanger, pillar and locator part become visible, the details become more obvious. Moreover, as for the online application of catenary failure diagnosis system, efficiency is another important consideration. The experimental results also show that the cost time of catenary image enhancement is within a few tens of seconds, which meets the requirements of catenary failure diagnosis system.
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