基于图像处理的玉米种子特征参数提取系统

The Extraction System of Corn Seeds Characteristic Parameter Based on Imagine Process

随着计算机技术的发展,利用机器视觉代替人的视觉对玉米种子进行品种识别和质量检测是必然趋势。在检测中最关键的一步是对玉米种子图像进行有效特征提取,特征参数的有效性或者精度直接关系到种子品种识别的成败。为此,优化了基于机器视觉的玉米种子图像处理策略,提出了比较全面有效的玉米种子特征参数和一种适应玉米种子识别的多对象轮廓提取算法,采用VC++编制了玉米种子特征参数提取系统。经实验验证,本系统能够准确快速地提取玉米种子特征参数,为玉米种子品种识别和质量检测的后期工作奠定了基础。

With the development of computer technology,it is necessary to use machine vision instead of human vision to identify corn seeds and test the quality.The most important step in the detection is to extract effect characters of the corn imagine,and the corn seeds identification depends on the efficiency and accuracy of the characteristic parameters.In this paper,we optimize the imagine process strategy based on machine vision and put forward a more comprehensive characteristic parameter and a multi-objective outline extraction algorithm,which mainly use VC＋＋ program,accommodate to corn seeds Identification.And the test results show that the system can extract corn characteristic parameters rapidly and accurately,and turn into a basement for further research on corn seeds Identification and quality test.