视频处理模糊算法检测运动和抑制噪声在遥感中的应用

V. Ponomaryov, A. Rosales-Silva, F. Gallegos-Funes, L. Nino-de-Rivera
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引用次数: 0

摘要

提出了一种新的模糊逻辑方案,利用梯度和矢量进行运动目标检测,并利用时空滤波抑制噪声。该过滤框架基于提出的模糊规则来描述像素属性,并应用序列的过去和现在帧运行。仿真结果表明了该算法与现有算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video processing fuzzy algorithm detecting movement and suppressing noise in remote sensing apllications
Novel fuzzy logic scheme that employs the gradients and vectors for motion object detection, and spatial temporal filtering to suppress a noise has been proposed. The filtering framework is based on proposed fuzzy rules to characterize pixelpsilas properties, and it runs applying the past and present frames of a sequence. The simulation results have shown the effectiveness of novel video colour fuzzy algorithm in comparison with existed ones.
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