NDLI: An FCM-based method to recognize and extract ripe tomato for harvesting robotic system

Content Provider	IEEE Xplore Digital Library
Author	Anmin Zhu Liu Yang Yanming Chen
Copyright Year	2012
Description	Author affiliation: School of Computer Science and Software Engineering, Shenzhen University, Guangdong Province, China, 518060 (Anmin Zhu; Liu Yang; Yanming Chen)
Abstract	In harvest robotic system with vision process, extracting ripe fruit from uncertain background is an important issue. In this paper, an FCM (Fuzzy C-Means)-based method combining with mathematical morphology is proposed, while tomato images getting from greenhouse are used to verify the proposed method. The image getting from the vision sensor is color image in our system. Therefore, CIE Lab* color space is selected to express the color image in this proposed method at first. Then, the segmentation for the effective color feature component is made using FCM segmentation method. After that, the component with the desired characteristics can be obtained and transferred into binary image for further processing. Lastly, the mathematical morphology method with geometric characteristic is used to extract the largest connected component as the ideal result, and to mark the center and bound rectangle of the recognized fruit. Experiment results indicate that the proposed method achieved good performance.
Starting Page	533
Ending Page	538
File Size	927391
Page Count	6
File Format	PDF
ISBN	9781467303620
ISSN	21618151
e-ISBN	9781467303644
e-ISBN	9781467303637
DOI	10.1109/ICAL.2012.6308135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image recognition Color Space Image color analysis Shape Object Extraction Clustering algorithms Morphology Color FCM clustering Mathematical Morphology
Content Type	Text
Resource Type	Article

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