基于SOPC水果分级检测系统研究

为了解决传统的水果分级检测系统存在的分级速度慢、系统庞大和成本高等问题,提出了基于SOPC水果分级检测系统,并将整个控制系统集成到一个FPGA芯片上,以脱离PC机平台,从而降低成本。通过Soble算法实现了水果图像的边缘提取,通过直方图的方法对水果的大小进行分辨,从而可以准确地对水果进行分级处理。测试结果表明,该系统具有检测速度快,开发周期短,可在线升级的优点,具有很好的应用空间。

Research on fruit grading detection system based on SOPC

In order to solve traditional fruit grading detection system of graded speed slow, huge system and high cost, puts forward the detection system based on SOPC fruit grading, and the whole control system was integrated into a FPGA chip, which can be detached from the PC platform, greatly reduces the cost. Through the Soble algorithm to achieve the edge of the fruit image extraction, and the method of histogram of the size of the fruit to distinguish, the fruit could be accurately classified. Test results show that this system has the advantages of fast detection speed, short development cycle, and can be upgraded online, which has a good application space.