基于Simulink与Stateflow的红外图像边缘检测系统设计  

Infrared Image Edge Detection System Design Based on Simulink and Stateflow

作　　者：王巍[1] 安友伟[1] 

机构地区：[1]重庆邮电大学光电学院,重庆400065

出　　处：《电视技术》2013年第3期29-32,共4页Video Engineering

摘　　要：基于模型设计方法实现基于细胞神经网络的红外图像边缘检测系统。将Simulink,Stateflow设计方法与CNN的设计理论相结合,建立CNN IP核模块。接着采用串行结构搭建图像输入、输出模块,达到可视化实时仿真及代码自动生成。仿真结果表明,基于模型的设计方法取得了较好的效果。在Xilinx公司Virtex-6系列的FPGA平台上,综合后占用极少资源的情况下达到了142.693 MHz的最高频率和7.927 Mpixel/s的处理速度。Cellular neural network （CNN） achieves good results in the infrared image edge detection, but its application prospects are restricted by CNN hardware system. Considering the cycle is long and high-risk of CNN hardware development,the infrared image edge detection system based on cel- lular neural networks is achieved by model-based design method. Combining Simulink ,Stateflow with theory of CNN ,the [P core of CNN should be estab- lish. Then the input and output module is designed by the serial structure, the system is achieved the real-time simulation. The verilog-code of the system is automatically generated. The experimental results demonstrated ：the model-based design method obtain good results. Implemented target a Virtex-6 FPGA from Xilinx,system reach the 142. 693 MH2 of highest frequency and 7. 927 Mpixel/s of processing speed.

关 键 词：红外图像 细胞神经网络 边缘检测 SIMULINK STATEFLOW 

分 类 号：TN492[电子电信—微电子学与固体电子学]