农业机械学报2009，Vol.40Issue(11)：176-179,188,5.
山竹的计算机视觉分级方法
Mangosteen Grading Based on Computer Vision
摘要
Abstract
A grading method of mangosteen at size and color was proposed based on computer vision. Taking the blue rollers as background, the mangosteen images were pre-segmented by double thresholds in RGB color space. Through morphological operation, contour trace and region fill, the whole mangosteen target was obtained. Lastly, the peduncle, pedicel and pericarp were identified by 2G-R-B and G factors. According to the centroid of peduncle and pedicel and the centroid of pericarp, the fruit posture was evaluated, and the diameter was extracted as the size grading criteria. Meanwhile, the difference of saturation and hue of pericarp area in HIS color space was the color grading criteria. A grading experiment was carried out for 200 mangosteens. The results indicated that the accuracy of diameter measurement is ±1.8 mm, and the maximal scale of neighbor grade mixed by color is 10.2%.关键词
山竹/分级/计算机视觉Key words
Mangosteen/ Grading/ Computer vision分类
农业科技引用本文复制引用
张俊雄,荀一,李伟..山竹的计算机视觉分级方法[J].农业机械学报,2009,40(11):176-179,188,5.基金项目
高等学校博士学科点专项科研基金资助项目(200800191014) （200800191014）
