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      Robotic melon harvesting

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          Image analysis using mathematical morphology.

          For the purposes of object or defect identification required in industrial vision applications, the operations of mathematical morphology are more useful than the convolution operations employed in signal processing because the morphological operators relate directly to shape. The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations. Examples are given for each morphological concept and explanations are given for many of their interrelationships.
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            Near-minimum-time task planning for fruit-picking robots

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              THE FLORIDA ROBOTIC GROVE-LAB

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                Author and article information

                Journal
                IEEE Transactions on Robotics and Automation
                IEEE Trans. Robot. Automat.
                Institute of Electrical and Electronics Engineers (IEEE)
                1042296X
                Dec. 2000
                : 16
                : 6
                : 831-835
                Article
                10.1109/70.897793
                04ad4d9b-310c-4518-90de-bc0b944d45a3
                © 2000
                History

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