Enhancement of Motor Infrared Image Based on Wavelet Transform and Weighted Filtering
A motor runs abnormally as a result of a temperature change. Gray values of infrared image’s pixel points reflect the object’s relative temperature level. Using the luminance variation of motor infrared image to measure infrared image’s temperature of motor is a good diagnosis method, but an infrared image has low contrast, and serious noise. Ordinary enhancement method algorithms each have limitations. Wavelet and weighted filtering was proposed. This algorithm could retain high and low frequency well. The results show that: this enhance algorithm has excellent image enhancing and visual effect effectively.
Motor infrared image wavelet transform weighted filtering high and low frequency information image enhancing
Ping Ma Ke Bai
College of Electricity and Information Engineer, Zhengzhou University of Light Industry, Zhengzhou, 450002, China
国际会议
2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)
厦门
英文
404-407
2010-04-12（万方平台首次上网日期，不代表论文的发表时间）