通过提取直方图的外层，以及计算像素点周围的局部模糊程度来更新粗糙度。

By extracting encrustation of histogram, and calculating partial fuzzy extent around pixels to update the fuzzy roughness.

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针对目标模型内的背景像素造成目标跟踪定位偏差的问题，提出了一种适合于目标跟踪的模糊核直方图。

To resolve the problem that the background pixels in an object model induce localization errors in object tracking, a fuzzy kernel histogram was presented for object tracking.

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针对最大熵阈值分割算法的计算缺陷，提出了一种基于直方图的模糊最大指数熵阈值图像分割新算法。

To overcome the defects of image segmentation by maximum entropy, a new method of image segmentation was presented by using fuzzy maximum exponential entropy based on histogram.

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