基于计算机视觉的苹果树果实缺陷探测研究

Research on apple fruit defect detection based on computer vision

苹果分级是将其自身的大小、缺陷作为关键性的评估指标,文章根据计算机视觉技术苹果分级研究现状,结合实际需要探讨一种能够对苹果进行分选的检测系统,并对R通道方法进行简单的介绍,同时对检测系统的应用效果进行试验。结果显示,这种算法具备可行性,可以取得良好的应用效果。基于此,文章以苹果树发病时叶片颜色、纹理呈现的差异作为依据,巧妙地使用计算机视觉技术,研发出一套可以诊断苹果树病害的检测系统。

Apple grading takes its own size and defects as key evaluation indicators.According to the research status of apple grading based on computer vision technology and combined with the actual needs,this paper discusses a detection system that can sort apples,briefly introduces the R-channel method,and tests the application effect of the detection system.Through the test results,it is found that this algorithm is feasible,good application effect can be achieved.Based on this,this paper combines the differences in the color and texture of the leaves when apple trees are infected,and cleverly uses computer vision technology to develop a detection system that can diagnose apple tree diseases.