Paper
19 October 2016 Study on application of color filters in vision system of hot forgings
Chao Bi, Jianguo Fang, Di Li, Xinghua Qu
Author Affiliations +
Proceedings Volume 10155, Optical Measurement Technology and Instrumentation; 1015522 (2016) https://doi.org/10.1117/12.2246795
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
In order to improve the quality and efficiency of forging process, it needs to execute on-line dimensional measurement of the forgings. In the paper, a laboratory color vision measuring system is set up and the combination of digital and physical filtering is adopted to improve the image quality based on the radiation characteristics of high-temperature forgings. The digital filtering technology is a kind of image processing methods, in which the R component of the forging image is removed. While, the physical filtering technology is achieved by optical filters installed in front of the CCD, in which strong self-emitted radiation from the hot parts can be filtered out. In order to evaluate the image quality, the image contrast is applied, which is generally defined as the difference value between average gray scale of object region and that of background region. In the experiments, image contrast derived with filters at different sample points set from 800°C to 1200°C is compared to determine the optimal scheme of filters to be selected. Results of experiments indicate that the application effect of filters is dissimilar when the forging is in different temperature ranges. Through comparison, the optimal selection scheme of filters is determined to derive high quality image of forgings at different temperatures, which lays a solid foundation for the subsequent image processing.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Bi, Jianguo Fang, Di Li, and Xinghua Qu "Study on application of color filters in vision system of hot forgings", Proc. SPIE 10155, Optical Measurement Technology and Instrumentation, 1015522 (19 October 2016); https://doi.org/10.1117/12.2246795
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KEYWORDS
Image filtering

Digital filtering

Optical filters

Color vision

Digital imaging

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