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Proceedings Paper

A method based on edge detection to amend the error from defocused image
Author(s): Mande Shen; Dejun Li; Faquan Zhang
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Paper 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.

Paper Details

Date Published: 10 July 2009
PDF: 8 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890W (10 July 2009); doi: 10.1117/12.836792
Show Author Affiliations
Mande Shen, Wuhan Univ. of Science and Engineering (China)
Dejun Li, Wuhan Univ. of Science and Engineering (China)
Faquan Zhang, Zhengzhou Univ. of Light Industry (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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