Segmenting ripe tomato pictures based on the illumination irrelevant images

In order to eliminate the impact of the illumination on the tomato image segmentation, the paper adopts a new method. The method is based on illumination irrelevant image, and uses minimum entropy criterion to calculate the illumination irrelevant angle of the given camera. We preprocess the colorful tomato image by the efficient median filter method, and obtain the illumination irrelevant image according to the formative principle of images. Then we segment the illumination irrelevant images using the improved Ostu segmentation method, and compare with the result of the segmentation images based on the chromatic aberration method. We also adopt the statistical threshold method in HIS color space to segment tomato images and study the influence of illumination. The experiment shows that the illumination irrelevant method can eliminate the influence of illumination effectively, and segments the objects accurately with the distinguished features.