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Image Recognition Technique for Unmanned Aerial Vehicles

机译:无人机图像识别技术

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摘要

Developing fast and accurate 2D image processing algorithms is an important task for the practical use of cybernetics. This paper presents an algorithm for fast and accurate blob detection and extraction based on the usage of two parameters ζ and χ. The algorithm is aimed to work in the color domain to prevent any loss of information but can also be implemented on gray-scale images. Achieved regions of interest can be further processed to achieve high level description. The algorithm is implemented in Java environment in order to adduce results on different video devices and system platforms.
机译:对于控制论的实际应用而言,开发快速,准确的2D图像处理算法是一项重要任务。本文提出了一种基于两个参数ζ和χ的快速准确的斑点检测和提取算法。该算法旨在在色域中工作,以防止信息丢失,但也可以在灰度图像上实现。可以进一步处理获得的感兴趣区域,以实现高水平的描述。该算法在Java环境中实现,以便得出不同视频设备和系统平台上的结果。

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