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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...
To improve the applicability of the recognition method for clustered tomatoes, an algorithm based on binocular stereo vision was presented. First, a depth map of clustered tomatoes was acquired using a combination stereo matching method. Second, the noises in the depth map were removed using an eight-neighbor mode denoising method. Third, the clustered regions were classified into two types (i.e.,...
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...
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