DocumentCode :
2343688
Title :
Wheat Image Correction for Feature Segmentation Based on Color Linear CCD
Author :
Chen, Fengnong ; Cheng, Fang
Author_Institution :
Zhejiang Univ., Hangzhou, China
Volume :
2
fYear :
2010
fDate :
18-20 Dec. 2010
Firstpage :
920
Lastpage :
923
Abstract :
This paper presented a machine vision system with a color linear CCD to identify several China wheat classes. However, these images were deformed due to color linear CCD itself, image noise and uneven brightness also existed. The image needs to be corrected so as to segment the wheat features better. Algorithms of linearity equation were developed to correct geometric distortions, homomorphic filtering and space domain enhancement methods for image restoration also played a significant role. From the evaluation, we could find that the image treatment was likely to effective.
Keywords :
CCD image sensors; computer vision; crops; image denoising; image restoration; image segmentation; production engineering computing; China; color Linear CCD; feature segmentation; geometric distortions; homomorphic filtering; image noise; image restoration; image treatment; linearity equation; machine vision system; space domain enhancement; uneven brightness; wheat image correction; color linear CCD; feature; image correction; wheat image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location :
ChangSha
Print_ISBN :
978-0-7695-4286-7
Type :
conf
DOI :
10.1109/ICDMA.2010.175
Filename :
5701557
Link To Document :
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