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Real-time image acquisition and processing system design based on DSP

机译:基于DSP的实时图像采集与处理系统设计

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In this paper, the software algorithm to achieve real-time video image acquisition, processing and identification is studied and discussed in-depth. Through access to documents, a image acquisition and processing system with DSP processor as the core is given to achieve real-time video image acquisition, processing and identification. And according to the target image characteristics of the cave, based on the experimental platform of DSP C6000 compiling environment, the image threshold segmentation, edge detection, image rotation and other pre-processing algorithms are compiled, and also the experimental results are satisfied. After threshold segmentation, edge detection and other preprocessing algorithms, according to the geometric structural characteristics of the cave, a skeleton algorithm is proposed to identify the target cave center.
机译:在本文中,研究了实时视频图像获取,处理和识别的软件算法,并深入地研究了处理和识别。通过获取文档,具有DSP处理器的图像采集和处理系统作为核心,以实现实时视频图像获取,处理和识别。并且根据洞穴的目标图像特性,基于DSP C6000编译环境的实验平台,编译图像阈值分割,边缘检测,图像旋转和其他预处理算法,并且还满足实验结果。在阈值分割后,边缘检测和其他预处理算法,根据洞穴的几何结构特性,提出了一种骨架算法来识别目标洞穴中心。

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