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Automatic Detection of Growing Orange Fruits by Machine Vision

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2007 ASAE Annual Meeting  073121.(doi:10.13031/2013.23252)
Authors:   Zhen LI, Tian-sheng HONG
Keywords:   Orange pictures, Mahanalobis distance, image clustering, object detection

Orange color pictures with complicated background were divided and the objects in them were detected purposely by using the Mahalanobis distance algorithm which belongs to multi-element statistical analysis and the results were analyzed. The ratio of orange fruits in the pictures of different growing period was calculated. It indicated that the Mahalanobis distance algorithm could overcome the influences of the light and the complicated background, as long as the elements of the picture and its index were reasonably selected and confirmed. The results showed that by programming, it could divide the image and detect the objects effectively.

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