Ripe Tomato Recognition with Computer Vision

Abstract. In order to realize the tomato harvest machinery automation, this paper presents a method for automatic recognition of ripe tomato with computer vision. First, the H color component in HSI color space is exploited as the color feature parameter for identification. The RGB tomato image acquired by computer vision is transformed into HIS image, we cut off ripe tomato region based on the gray distribution of H component using the threshold method. Then, Canny operator is used to edge detection, after corrosion expansion, the tomato centroid coordinates would be marked. Experiments proceed with the image taken by a CCD camera of tomato in different lighting conditions. The results show that, our algorithm can identify ripe tomato under natural light fast and ripe tomatoes in fields can be separated from each other with a very good recognition effect