基于计算机视觉的苹果表面缺陷识别方法

在利用计算机视觉技术检测苹果外部品质的过程中,苹果表面缺陷的识别相对于形状、大小、颜色的检测要复杂得多,因此缺陷检测方法的研究极具挑战性。在实验的基础上,本文对几种缺陷检测算法(“洪水法”和“蛇形法”、“自适应球形变换法”、“参考图像法”、“标准球体灰度模型法”)的思路和实验结果进行了深入的分析和比较,并对缺陷检测中尚待解决的问题进行了阐述。

Computer vision-based apple surface defect detection method

In the process of computer vision-based apple quality detection, apple surface defect detection is more complex than shape,size and color detection. So the research on defect detection method is very challenging . According to the experimentation ,This article reviewed several algorithm("flood" and "snake", "adaptive spherical image transform method", "reference image", "standard spherical gray level model method") for apple surface defect detection and gave an in-depth analysis of their ideas and experimentation results. Recent developments on it and the existing problems in existence were also discussed.