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.
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.
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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