FPGA图像处理在水果品级筛选技术中的应用  

Application of FPGA image processing in fruit grade screening technique

作　　者：程光伟[1] 刘东明[1] 

机构地区：[1]西安工业大学,陕西西安710032

出　　处：《现代电子技术》2016年第2期89-91,共3页Modern Electronics Technique

摘　　要：基于图像处理的水果品级的筛选技术研究,前端利用光学传感器采集水果信息,利用数字图像处理技术对采集的信息进行处理,从而对水果进行大小和颜色的判别,驱动电机对被测物体进行筛选。图像处理算法主要包括图像的滤波、二值化和边缘检测,分析了几种滤波算法的优缺点,用FPGA实现算法的处理,最终采用中值滤波和Sobel边缘检测算法,并用Verilog语言编写程序实现相关算法的仿真验证。为了测试程序的正确与否,对一幅480×640分辨率的8 b的灰度图像进行了中值滤波算法和Sobel算法的仿真测试,测试结果满足系统要求。In the research of screening technology of fruit grade based on image processing,the optical sensor is adopted to collect the fruit information,and the digital image processing technology is used to process the captured information,so as to discriminate the size and color of the fruit and drive the motor to screen the fruits. The image processing algorithms includs image filtering,binarization and edge detection. The advantages and disadvantages of several filtering algorithms are analyzed.FPGA is used to implement image processing. The median filtering,Sobel edge detection algorithm and Verilog language program are taken to implement simulation verification of the related algorithm. In order to test the correctness of the testing program,the simulation testing of median filtering algorithm and Sobel algorithm for a 8bit grayscale image with the resolution of480×640 was performed. The testing results met the system requirements.

关 键 词：FPGA技术 水果筛选 VERILOG语言 中值滤波 Sobel边缘检测算法 图像处理 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论] TP391[自动化与计算机技术—计算机科学与技术]