关键词: 食物识别, 颜色特征, 目标区域, 食物种类

Abstract:

n view of the efficiency of manual pricing in the checkout of the cafeteria, a new recognition algorithm based on color feature is proposed in this paper. In the algorithm, the edge projection and extract the target area, the segmentation of food image clustering based on Lab color model using HSV color model to obtain the color features of all kinds of regional, and based on the regional color recognition of food species. Simulations and statistical analysis for a class of 30 images and 3 kinds of food. The results show that the accuracy of the algorithm can reach 95.6% and the fastest speed of recognition is only 0.119 s.

Key words: food recognition, color features, ROI region, food types