부산대학교 도서관

In order to achieve intelligent, fast and accurate grading of apples, Apple's image acquisition and recognition system has been built, which is based on machine vision technology. Through color-to-gray, image noise reduction, image enhancement, and image segmentation processing of the collected image, three characteristics of the shape, size and color of the apple were recognized. Taking the 3 features of the apple identified from the image recognized as input, a multi-feature fusion classification method based on image processing and SVM was proposed in this paper. Through the constructed SVM vector machine, the apple's shape, size and color are synthesized to judge the apple's grade. The experimental results show that the classification method has the characteristics of high recognition rate and good real-time performance. This method lays the foundation for the application of machine vision technology in apple grading.