基于机器视觉的圆茄果实大小分类研究  

Research on the Size Classification of Round Solanum Fruit Based on Machine Vision

作　　者：周中猛 王伟[1] 沈士哲 ZHOU Zhong-meng;WANG Wei;SHEN Shi-zhe(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin Heilongjiang 150040,China)

机构地区：[1]东北林业大学机电工程学院,黑龙江哈尔滨150040

出　　处：《林业机械与木工设备》2024年第11期62-65,71,共5页Forestry Machinery & Woodworking Equipment

摘　　要：在茄子的生产销售中,做好茄子的分级工作十分重要。采用CCD相机获取圆茄图像,应用OpenCV、Python开发环境对获取到的圆茄图像进行处理,进行HSV模型转换并加权处理、降噪处理、二值化图像分割、形态学处理以及边缘检测,对得到的边缘检测图像进行圆形度和果径的长度计算,根据圆茄的果径大小进行圆茄等级的分级。研究表明,基于机器视觉技术的检测方法能够很好地对圆茄大小进行区分,能够有效满足圆茄的分级要求。In the production and sale of eggplant,it is very important to do a good job in the classification of eggplant,so the size of round eggplant was studied in this paper.The OpenCV and Python development environment was applied to process the acquired nightshade image,the CCD camera was used to obtain the nightshade image,the HSV model was converted to the nightshade image,and weighted processing,noise reduction processing,binary image segmentation,morphology processing and edge detection were carried out.The roundiness and fruit diameter length of the obtained edge detection image were calculated.According to the size of the fruit diameter of the round eggplant grades are graded.The research shows that the detection method based on machine vision technology can distinguish the size of round nightshade well,and can effectively meet the grading requirements of round nightshade.

关 键 词：机器视觉 圆茄 大小分级 

分 类 号：S641.1[农业科学—蔬菜学] TP391.4[农业科学—园艺学]