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Background removal by modified fuzzy C-means clustering algorithm

机译：通过修改的模糊C-Means聚类算法去除背景

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摘要

This paper proposes a modified Fuzzy C-means clustering algorithm which removes the different types background present in the image automatically. It removes the limitation associated with Fuzzy C-means clustering algorithm such as selection of initial number of clusters by selecting from the co-occurrence matrix. As the co-occurrence matrix represents the repetition of adjacent gray levels, the proposed algorithm selects centroids as the gray levels corresponding to the diagonal elements of the co-occurrence matrix. Some morphological operations were done to the resultant image. The proposed algorithm uniformly removes the background pixels. The performance of the proposed algorithm is measured quantitatively.
机译：本文提出了一种修改的模糊C型聚类算法，其自动地删除图像中存在的不同类型背景。它通过选择来自共发生矩阵，去除与模糊C-Means聚类算法的限制，例如通过选择共发生矩阵的初始簇的选择。由于共发生矩阵表示相邻灰度级的重复，所提出的算法选择质心作为与共发生矩阵的对角线元件相对应的灰度级。对所得图像进行了一些形态操作。所提出的算法均匀地去除背景像素。定量测量所提出的算法的性能。

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