Design and low-cost FPGA implementation of the fuzzy decision system

被引:0
|
作者
Ieno Junior, Egidio [1 ]
Garces Socarras, Luis Manuel [2 ]
Pimenta, Tales Cleber [3 ]
机构
[1] Ctr Fed Educ Tecnol, Dept Mechatron, Varginha, Brazil
[2] Technol Univ Havana, Dept Automat & Comp, Havana, Cuba
[3] Univ Fed Itajuba, Inst Syst Engn & Informat Technol, Itajuba, Brazil
关键词
low-cost FPGA; fuzzy integral; image processing; moving object detection; VEHICLE DETECTION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Methods of moving object detection for General Purpose Processors (GPPs) present an approach that does not allow a successful implementation in the Field Programmable Gate Array (FPGA). This is because correct pixel classification is directly related to the need for many resources in terms of memory or complex mathematical operations to model the reference image. Therefore, these implementations do not allow real-time processing. In addition, these methods implement only conventional techniques of digital imaging processing. Thus, we propose an architecture for FPGA that combines filter operations with fuzzy integral to improve the detection of moving vehicles. This proposed fuzzy decision system for detecting moving vehicles seeks to not compromise the results in terms of pixel classification, even validating the system through a reference image obtained by a simple modeling mechanism. Results are verified in terms of the resources occupied, maximum frequency of operation and similarity measure in the FPGA Spartan -6 LX100. The implementation of the proposed low-cost FPGA system processes high -definition images in real time and improves pixel classification.
引用
收藏
页码:291 / 294
页数:4
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