Abstract:
In order to improve the status of cherry sorting in China, the automatic screening of cherry fruit defects and the improvement of cherry production efficiency were mainly carried out. Combined with the existing image processing methods, this paper designed a set of cherry defect detection device based on visual processing software NI Vision Assistant. In this experiment, using image acquisition system to obtain the image and then the algorithm to extract the cherry fruit defect part; finally the defect location information is sent to the screening mechanism, so as to complete the detection and screening of defects of cherry. Finally, the experimental results show that the screening method is fast; the experimental instruments and methods are relatively simple; and the comprehensive detection accuracy is relatively high, which basically meets the requirements of the detection of defective cherries in actual production.