基于ARM和DSP的嵌入式收获前籽棉分级系统

提出了一种嵌入式收获前籽棉分级系统的总体设计方案。嵌入式终端以ARM（TMS320DM365）为主处理器，以DSP（TMS320DM6437）为从处理器。在ARM上构建Linux系统环境，并行执行视频采集和人机交互任务：摄像头采集模拟视频流送解码芯片（TVP5146）解码；同时，在用户界面上实时显示数字视频流，并通过SPI向DSP发送视频处理请求。DSP在同步采集视频流的过程中收到请求信号后，对当前帧进行图像分割、特征提取和判别，并将处理结果返回给ARM。田间试验表明，系统能够以90.48%的正确识别率快速地识别籽棉品级。

Design of Embedded System for Grading of Pre-harvest Cotton Based on ARM and DSP

An embedded system for grading of pre-harvest cotton was designed on overall. ARM (TMS320DM365) was regarded as main processor of the embedded terminal, and DSP (TMS320DM6437) was regarded as slave processor. Linux system environment was built on ARM, and video capture and man-machine interaction were executed in parallel. Simulation video flows were captured by camera and decoded in decoder chip (TVP5146). Digital video flows were displayed real-timely on user interaction interface and the video process request was sent to DSP by SPI. After DSP received the request signal during video flows capture synchronously, the current frame was segmented and discriminated by features extraction, and the result was returned to ARM. Field experiment showed that the system could recognize the grades of raw cottons quickly with an accuracy of 90.48%.