基于Nios-Ⅱ运动目标检测的二值图像处理

Binary Image Processing of Moving Object Detection Design Based on Nios-Ⅱ

针对运动目标检测相关特性,结合形态学基本理论,提出一种基于FPGA的腐蚀膨胀去噪方法,以提高运动目标检测的精确度和视觉效果。经Matlab仿真和altera-EP1C12Q240C8下载实验,表明图像中的噪声点基本被滤除,有效防止了误检测。该硬件处理方法具有速度快、接口性能好、在线升级方便等优点,达到了预期效果。叙述了腐蚀膨胀模块与腐蚀膨胀算子的FPGA设计方法与实验过程。

According to the relative motion detection,a removaling noise method based on corrosion expansion by FPGA was put forward in order to improve the accuracy and motion detection visual effect in morphological characteristics of basic theory.The resuts of Matlab simulation and altera-EP1C12Q240C8 download experimental showed that the noise in image was basically filtered,false detection was prevented effectively,the hardware processing method has such advantages as quick speed,strong interface performance,convenience online updater,expected effect was reached.System design process was introduced,and corrosion expansion module and corrosion expansion of FPGA design method and operator experimental process were focused on at the same time.