【摘要】 以少数民族服饰图像为分割对象,结合块截断算法设计思想,提出一种基于空间邻域的模糊C均值图像分割算法。利用方块截断编码理论将图像RGB颜色空间分量截断为6个分量,通过六维特征向量对民族服饰图像进行特征表示,将其作为算法输入进行聚类分割。实验结果表明,该算法在分割精度、划分系数和划分熵3个量化指标上的性能均优于FCM,FCM_S1和FCM_S2算法,对民族服饰图像的分割效果较好,尤其表现在对民族服饰具有代表性的特征元素区域分割上。更多还原

【Abstract】 By taking the image of ethnic minority costumes as the segmentation object,based on block truncation theory,an algorithm for image segmentation based on spatial neighborhood of Fuzzy C-means(FCM) algorithm is proposed.Firstly,the Block Truncation Coding(BTC) theory is used to cut the image RGB color space into six components.Then,the six-dimensional feature vector is used to express the characteristics of the national costume image.Finally,this six-dimensional feature vector is used as the data input of the algorithm.Experimental results showthat the performance of the proposed algorithm in this paper is better than FCM,FCM_ S1,FCM_ S2 in segmentation accuracy,partition coefficient and partition entropy.It has better performance on ethnic costume image segmentation,especially for typical elements of ethnic constume.更多还原