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To improve the measurement accuracy of depth of tomatoes based on binocular stereo vision, the fluctuation of depth measurement errors of tomatoes caused from every influence factor was analyzed quantificationally based on single factor experiments after the analysis of influence factors resulted in depth measurement errors. The depth measurement method for tomatoes based on binocular stereo vision...
Recognition of clustered fruits and vegetables is a most challenging subject in researches on the vision system of harvesting robot. A recognition algorithm for clustered tomatoes based on mathematical morphology was tested. This algorithm mainly included four steps. First, tomato image segmentation was realized based on a normalized color difference. Second, clustered region could be recognized according...
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