利用计算机视觉对自然背景下西红柿进行判别

Discriminating Tomatoes Based on Computer Vision Technology in Natural Outdoor Scenes

介绍了机器人利用计算机视觉为向导,采用色度和强度信息对自然背景下的果实进行采摘的方法;提出了仅用颜色特征,采用贝叶斯决策分类模型对自然背景下的西红柿进行判别,并应用质心计算技术对这种分类模型进行了评价,得出对西红柿像素分类的正确性在80%以上的结论。

This paper investigated the use of chrominance and intensity information natural outdoor scenes as a means of guidance for a robotic manipulator in the harvest of fruit. A Bayesian classification model was developed which could discriminate tomatoes from the natural background using only color features in a digital color Image.The classification was evaluated by centroid calculation technique and it could correctly classify over 80% of the tomatoes pixels.