Comparative Study of Digital Instrument Image Enhancement in Complex Industrial Environment
Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China
Proceedings: ICMLCA 2021
Pages: 5Language: englishTyp: PDF
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Authors:
Shi, Bojia; Zhang, Daiqi (Information Science & Engineering, Shenyang Ligong University, Shenyang, China)
Sui, Tao; Zhang, Yanzhu (Automation & Electrical Engineering, Shenyang, Ligong University, Shenyang, China)
Abstract:
In order to improve the detection and recognition effect of digital instruments in the factory, a method of improving image quality in complex scenes is proposed for errors of the detection result caused by the blurred image of digital instrument collected in poor working environment. In this paper, the improved Retinex algorithm and the combination of histogram equalization and image enhancement technology can be used to remove the blurring of the instrument image caused by the poor environment. The experiment takes two image sets under bad environment as the object and selects four different image enhancement methods for comparison. Through comparison, the pros and cons of different methods are obtained. This study satisfy the application requirements and has practical value for the existing digital instrument image processing technology.