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基于多维向量模型模糊聚类的图像识别研究
引用本文:肖满生,YU Xun-quan,周丽娟.基于多维向量模型模糊聚类的图像识别研究[J].计算机工程与设计,2008,29(15).
作者姓名:肖满生  YU Xun-quan  周丽娟
作者单位:湖南工业大学,理学院,湖南,株洲,412008
摘    要:从建立像素色彩空间的多维向量模型出发,采用一种改进的模糊C均值聚类算法对图像进行分割,从而得到一组图像像素空间的特征区域向量,并采用特征向量相似度计算方法计算图像相似度,进而比较两幅图像相似度大小,以达到图像识别的目的.通过实验对图像相似识别效果进行验证,实验表明,基于多维向量模型模糊聚类方法在图像识别中有一定应用价值.

关 键 词:多维向量  模糊聚类  图像识别  相似度  像素色彩空间

Research on image recognition based on fuzzy clustering for multi-dimensional vector model
XIAO Man-sheng,YU Xun-quan,ZHOU Li-juan.Research on image recognition based on fuzzy clustering for multi-dimensional vector model[J].Computer Engineering and Design,2008,29(15).
Authors:XIAO Man-sheng  YU Xun-quan  ZHOU Li-juan
Affiliation:XIAO Man-sheng1,YU Xun-quan2,ZHOU Li-juan1(1.College of Science,Hunan University of Technology,Zhuzhou 412008,China,2.Hunan Railway College of Science , Technology,Zhuzhou 412000,China)
Abstract:The paper from the establishment of the multi-dimensional vector model of pixel color space,using an improved Fuzzy C-Means clustering algorithm for image segmentation,so a group of the characteristics of the regional space vector is obtained,and an eigenvector similarity calculation method is used to calculate image similarity,then it can compare the size of similarity of the two images,so as to achieve the purpose of image recognition.And last the experiment is given to verify the effect of the image simi...
Keywords:multi-dimensional vector  fuzzy clustering  image recognition  similarity  pixel color space  
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