农机化研究2018，Vol.40Issue(9)：218-222,5.
基于计算机视觉的橙子分级研究设计
Design of Oranges Based on Computer Vision
摘要
Abstract
Oranges have a high nutritional value,is a pillar industry in some areas of our country,occupies a certain po-sition in the agricultural economy. Grading is a fruit before the sale of an important process, is conducive to increasing sales revenue, improve industrial competitiveness. A wide variety of oranges,different quality,its classification is partic-ularly important. At present, the grading of oranges is mainly done manually, but can not meet the requirements of sus-tainable development. Computerized visualization of orange grading equipment types,analysis and calculation methods are more,but in the experimental stage,has not been applied to the actual production. Based on the computer vision technol-ogy, this paper establishes the real-time grading system of oranges. The orange image is pretreated and grayed out by computer to extract the target contour, and then the size, color and surface defects are detected respectively, and the RBF neural network model is used to divide the level. The accuracy rate of the system is 82.5% ~ 90.0%, the average accuracy is 86.3%. System processing single image with an average of 0.6s, grading efficiency of 180 / s, can achieve the orange of the automated detection and classification.关键词
计算机视觉/橙子/分级/品质Key words
computer vision/oranges/grading/quality分类
农业科技引用本文复制引用
李顺琴,陈勇,何娇..基于计算机视觉的橙子分级研究设计[J].农机化研究,2018,40(9):218-222,5.基金项目
重庆市教委人文社科(重点)项目(14SKP02) （重点）
重庆市教委科学技术研究项目(KJ1714359) （KJ1714359）
