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A METHOD FOR COLOR IMAGE SEGMENTATION USING DYNAMIC HISTOGRAM BASED ROUGH-FUZZY C MEANS

机译:一种基于动态直方图的粗糙模糊C均值的彩色图像分割方法

摘要

The present invention relates toa method for color image segmentation using Dynamic Histogram based Rough-Fuzzy C-Means (DHRFCM), wherein said method comprises the following steps: (i) Inputting an image of first color model; (ii) Converting image of said first color model to other color models of images than the first color model; (iii)Splitting said image in to four partitions;(iv)Constructing histogram for each partition; (v) Splitting histograms into K clusters; (vi) Finding initial seed point from each histogram; (vii)Reducing seeding points using rough sets; (viii) Applying Fuzzy C-Means (FCM) to each image; (ix) Collecting resultant segmented image; and (x) Retrieving values of three different indices.
机译:本发明涉及一种使用基于动态直方图的粗糙模糊C均值(DHRFCM)进行彩色图像分割的方法,其中,所述方法包括以下步骤:(i)输入第一色彩模型的图像; (ii)将所述第一颜色模型的图像转换为不同于第一颜色模型的图像的其他颜色模型; (iii)将所述图像分成四个分区;(iv)为每个分区构造直方图; v将直方图分为K个簇; (vi)从每个直方图中找出初始种子点; (vii)使用粗糙集减少播种点; (viii)将模糊C均值(FCM)应用于每个图像; (ix)收集合成的分割图像; (x)检索三个不同索引的值。

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