【摘要】 提出了基于模糊聚类和fisher判据的图像分割算法。首先用模糊C均值聚类算法对图像进行预分割。在此基础上,用Fisher判据对每个聚类结果自动确定出一个同组。然后,再用置信度来判定这一同组是否有效,从而消除过分割,实现图像的精确分割。最后,给出了上述算法的计算机实现方法,并进行了计算机仿真研究。更多还原

【Abstract】 This paper proposes an image segmentation method based on the combination of the Fuzzy C-means cluster-ing algorithm and peer group technology.Firstly,the Fuzzy C-means clustering algorithm is used to get the pre-segmen-tation.Secondly,a peer group corresponding to a cluster obtained from the pre-segmentation is automatically achieved by use of the Fisher discrimination.Thirdly,a confidence magnitude is used to testify the validation of the peer group so that the over-segmentation can be eliminated and the accurate image segmentation can be implemented.At last,the com-puter realization steps of the algorithm mentioned above are presented,and computer simulation researches are per-formed on the algorithm.更多还原