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In this paper, a novel level set segmentation model integrating the intensity and texture terms is proposed to segment complicated two-phase nature images. Firstly, an intensity term based on the global division algorithm is proposed, which can better capture intensity information of image than the Chan–Vese model (CV). Particularly, the CV model is a special case of the proposed intensity term under...
The accuracy of the three dimensional localization of the vision systems of harvesting robots is likely to be effected by the occlusion of leaves and branches. To quantitatively analyze the influence to the localization for tomatoes based on binocular stereo vision caused by the occlusion, we analyzed the three dimensional localization errors of occluded tomatoes in three kinds of occlusion degree...
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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