计算机视觉技术在玉米种子自动检测中的应用

玉米种子的品质关系到后期玉米种植收获的好坏,也是玉米收获后的重要加工环节,一般在收获的玉米中挑选出品质优良的作为种子。利用计算机视觉对玉米种子品质进行挑选,具有效率高、准确度高的优势,可代替传统的人工作业,节省了大量劳动力。计算机视觉技术是通过对玉米种子采集的图像进行格式转换、图像变换、图像直方图信息统计、图像增强、图像分割及形态学处理等一系列图像预处理技术,并提取有效图像进行分析验算。计算机视觉技术对玉米种子品质的研究主要表现在玉米种子的品种、纯度、活力、裂纹等方面的检测,本文对玉米种子的检测智能化进行了阐述,为后期研究提供参考。

Application of Computer Vision Technology in Maize Seed Automatic Detection

Corn quality is related to the quality of late corn harvested harvest is good, but also an important post-harvest processing of corn, harvested corn picked out of good quality as a seed. The use of computer vision to select the quality of corn seeds has the advantages of high efficiency and high accuracy, which can replace the traditional artificial division and save a lot of labor. Computer vision technology is a series of image preprocessing technologies, such as format conversion, image transformation, image histogram statistics, image enhancement, image segmentation, morphological processing and so on, which are collected by the corn seed. Feature extraction valid images are analyzed and checked. The researches on the corn seed quality by computer vision technology mainly study the detection of corn seed variety, purity, vitality, crack and so on, and summarize the detection intelligence of corn seed, and provide references for the later research.