计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
22期
175-179
,共5页
图像识别%遗传算法%现场可编程门阵列
圖像識彆%遺傳算法%現場可編程門陣列
도상식별%유전산법%현장가편정문진렬
image recognition%genetic algorithm%Field Programmable Gate Array(FPGA)
利用模板匹配方法,采用基于遗传算法的图像识别技术,完成了对图像目标识别的算法验证.在此基础上进行了基于该算法的图像识别系统的FPGA实现,并在相关验证平台进行了硬件仿真与时序分析.实验结果表明,所设计的图像识别电路具有较高的识别精度和较快的识别速度.
利用模闆匹配方法,採用基于遺傳算法的圖像識彆技術,完成瞭對圖像目標識彆的算法驗證.在此基礎上進行瞭基于該算法的圖像識彆繫統的FPGA實現,併在相關驗證平檯進行瞭硬件倣真與時序分析.實驗結果錶明,所設計的圖像識彆電路具有較高的識彆精度和較快的識彆速度.
이용모판필배방법,채용기우유전산법적도상식별기술,완성료대도상목표식별적산법험증.재차기출상진행료기우해산법적도상식별계통적FPGA실현,병재상관험증평태진행료경건방진여시서분석.실험결과표명,소설계적도상식별전로구유교고적식별정도화교쾌적식별속도.
Adopting image recognition technologies based on genetic algorithm,the algorithm of image target recognition is verified using template matching method.The image recognition system based on this algorithm is implemented with FPGA.The hardware simulation and timing analysis are carried out by the relevant verification platform.The results indicate that the image recognition circuits designed in this paper have the merits of higher recognition precision and faster recognition speed.
