计算机视觉对青刀豆长度及弯曲度评价的初步研究

摘要

Objective To evaluate the length and curvature of garden bean by computer vision. Methods In this paper, garden beans’ images were obtained by computer vision and processed by using Matlab 7.0. After images processing, the parameters with length and curvature of garden beans were extracted and graded based on computer vision information. Results The evaluation accuracy for garden beans quality could reach 95.6%by computer vision. Conclusion This method showed the feasibility to help the auto grading device devel-opment for garden beans.%目的：利用计算机视觉对青刀豆长度及弯曲度进行评价。方法本文以青刀豆为研究对象，利用计算机视觉系统获得青刀豆的表面图像，用Matlab 7.0对各个等级青刀豆图像进行处理分析，提取与青刀豆的长度及弯曲度参数，确定了计算机视觉对青刀豆长度和弯曲度的分级方法。结果计算机视觉对青刀豆的长度和弯曲度的综合分级准确率可达到95.6%。结论本研究为进一步开发青刀豆品质自动分级设备提供了参考。