Design study of scallop grading system based on computer vision
In order to realize the automatic classification of scallops,the research process designs the corresponding classifica-tion system based on the computer vision technology.The color and contour features of scallops are taken as the basis of classifica-tion,and RGB color mode is used to collect single channel color information,successively through image filtering processing and bi-nary processing,and then edge detection and scallop measurement,and the classification is completed according to the equivalent circle diameter.The computer vision library OpenCV was used to realize the designed visual recognition algorithm,and 20 scallops were graded.The results showed that compared with the manual measurement,the accuracy of the computer vision classification system reached 95%,showing good practical value.
万方数据
维普
