Paper
10 July 2009 A method based on edge detection to amend the error from defocused image
Mande Shen, Dejun Li, Faquan Zhang
Author Affiliations +
Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890W (2009) https://doi.org/10.1117/12.836792
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
In the measurement of object's projective area by the method of machine vision, image obtained is often defocused, because of the variety of object's thickness and the diversity of placement. The error of area measurement is increased because of the blur of defocused image. According to the principle of the edge width proportion to the defocusing amount, this paper proposes a method based on image processing algorithm to correct the error. First, the target edge image is yielded by edge detection; then, the revised target image is obtained through the logical operation of defocused image and edge image; finally, the correct area is calculated from the revised image. Experimental results show that this method can greatly improve the measurement precision, and has strong adaptability to different defocusing amount in the same image.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mande Shen, Dejun Li, and Faquan Zhang "A method based on edge detection to amend the error from defocused image", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890W (10 July 2009); https://doi.org/10.1117/12.836792
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KEYWORDS
Binary data

Edge detection

Image processing

Detection and tracking algorithms

Target detection

Machine vision

Computer vision technology

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