Study of Precise Measurement Algorithm Based on Machine Vision

Yu Qin Yao; Wen Bin Wang; Hui Ju

doi:10.4028/www.scientific.net/AMR.466-467.1349

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Study of Precise Measurement Algorithm Based on Machine Vision
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Study of Precise Measurement Algorithm Based on...

Study of Precise Measurement Algorithm Based on Machine Vision

Abstract:

An precise measurement algorithm based on machine is presented, first, salt and pepper noise has been pushed into original image, then the image with noise was under a median filtering，output image is well preprocessed, and distortion in image has been corrected by Camera Distortion Correction. The corrected image was detected by Canny operator on its edge then the image’s edge was extracted by the maximum variance method on certain threshold, and the output image is showed in gray level, then the gray level was under interpolation computation by bilinear interpolation function to make its edge be detected at sub-pixel level. In this paper, the combination of image procession and camera calibration is practically and effectively fulfilled the precision requirement of the system.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

1349-1352

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.1349

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Online since:

February 2012

Authors:

Yu Qin Yao, Wen Bin Wang, Hui Ju

Keywords:

Bilinear Interpolation, Camera Calibration, Edge Detection, Image Procession, Machine Vision, Median Filtering

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