东华大学学报（英文版）
東華大學學報（英文版）
동화대학학보（영문판）
JOURNAL OF DONG HUA UNIVERSITY(ENGLISH EDITION)
2004年
3期
123-129
,共7页
王郁中%杨杰%周大可%郑元杰
王鬱中%楊傑%週大可%鄭元傑
왕욱중%양걸%주대가%정원걸
JSEG%scale space-based clustering%Gaussian mixture modelling%EM algorithm%Soft J value
An improved approach for JSEG is presented for unsupervised segmentation of homogeneous regions in gray-scale images. Instead of intensity quantization, an automatic classification method based on scale space-based clustering is used for nonparametric clustering of image data set. Then EM algorithm with classification achieved by space-based classification scheme as initial data used to achieve Gaussian mixture modelling of image data set that is utilized for the calculation of soft J value. Original region growing algorithm is then used to segment the image based on the multiscale soft J-images. Experiments show that the new method can overcome the limitations of JSEG successfully.
