关键词: 图像处理, HSV模型, 二值化, 半径大小, 分级

Abstract:

In order to improve the apple grading technology, a fruit classification algorithm that coalesce the color model and the apple fruit radius are presented. By using the adaptive threshold method, the binary image can be obtained after graying the sample image. Then, the pixels radius of apple fruits are calculated to get the actual ones based on the relationship between the radius of the fruit pixel radius and the true ones. Meanwhile, the H component, containing the color information, is extracted and the red proportion is calculated by converting the RGB image of sample images to HSV space. Finally, the apples can be classified via apple radius and the proportion of red. Compared with manual classification results, the simulation results show that the algorithm is effective for apple grading, and has higher classification rate reached 96%.

Key words: image processing, HSV model, binary, radius size, classification