CAJ | 학술논문

为了降低目前水果检测与分级系统的复杂性和成本，提出了以 FPGA 代替计算机进行图像数据处理的方法。首先使用高斯滤波器对水果的图像进行预处理，然后采用 soble 算法提取水果的边缘，最后运用直方图的方法实现水果大小分级功能。实验结果表明，该检测系统具有处理速度快，开发周期短等优点，在水果品质检测与分级方面具有较高的实用价值。
위료강저목전수과검측여분급계통적복잡성화성본，제출료이 FPGA 대체계산궤진행도상수거처리적방법。수선사용고사려파기대수과적도상진행예처리，연후채용 soble 산법제취수과적변연，최후운용직방도적방법실현수과대소분급공능。실험결과표명，해검측계통구유처리속도쾌，개발주기단등우점，재수과품질검측여분급방면구유교고적실용개치。
In order to reduce the complexity and cost of the fruit detection and classification system .In this paper , put forward the FPGA processing of image data instead of the computer .The first to use the Gaussian filter preprocessing fruit image , then use soble algorithm to extract fruit edge , finally use the histogram method to achieve fruit size grading .Ex-perimental results show that the detection system has a fast processing speed , short development cycle advantages and so on , has a high practical value at fruit quality detection and classification .