基于计算机视觉信息处理技术的苹果自动分级研究

Apple Automatic Grading Computer Vision Information Processing Technology

随着社会经济的快速发展和人们消费水平不断的提高,消费者在购买苹果时对其品质的要求也越来越高。在传统农产品加工作业中,导致分级精度低和劳动生产率低。利用计算机视觉信息处理技术,依据主特征参量对苹果进行自动分级,相较于传统的苹果等级人工分离方法,不仅提高了苹果等级分离的正确率,且极大地节约了劳动力。

With the rapid socio-economic development, people＇s consumption levels continue to increase, people are buying Apple its quality requirements are also getting higher and higher, the market is now on the quality of apple grading sales. In the traditional agro-processing operations, separating workers picking fruit and put them in bags or boxes on the ground, and then be transported manually to the trailer park where to be sent to the area of post-harvest packaging line. Note that this hierarchical model is inefficient, more importantly, which includes dead time, it is difficult to fully consid- er the situation of each apple, resulting classification accuracy and low labor utilization rate. The computer system has been widely used in precision agriculture, such as detecting and removing weeds yield grade, automatic harvesting of fruits and vegetables or agricultural products. How it works ： computer vision acquisition variety of apple image feature ex- traction, using ddge detection, image enhancement, image binarization image data processing method for image analysis acquisition, processing feature can set up multiple, according to the main characteristic parameters apple automatic grading. The results show that the traditional apple grade artificial separation method compared to using machine vision grade apples were separated, not only improve the accuracy of the apple grade separation, but also greatly save labor.