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An application of fuzzy set theory for an electronic video camera image stabilizer

机译:模糊集理论在电子摄像机图像稳定器中的应用

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An electronic video camera image stabilizer has been developed which eliminates a substantial part of the image instability caused by the involuntary movement of camera holders. For the discrimination between image movement caused by unstable hand-holding and that of moving objects, fuzzy set theory is applied through the following process: 1) dividing the image taken by the camera into four regions, 2) providing two signals to discriminate between the causes of image instability, 3) evaluating these two discriminating signals after they are transformed into reliability values by membership functions, and 4) tuning the membership functions using a simplex method. This image stabilizer has been incorporated into a new compact video camera, and its substantially improved field performance has been confirmed.
机译:已经开发了一种电子摄像机图像稳定器,该稳定器消除了由于摄像机支架的非自愿移动而导致的大部分图像不稳定。为了区分由不稳定的手持引起的图像移动与移动物体的图像移动,通过以下过程应用模糊集理论:1)将相机拍摄的图像划分为四个区域,2)提供两个信号以区分导致图像不稳定的原因; 3)通过隶属度函数将这两个区分信号转换为可靠度值后,对它们进行评估;以及4)使用单纯形法调整隶属度函数。该图像稳定器已被并入新的紧凑型摄像机中,并且已证实其显着改善的现场性能。

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