A customized Gabor filter for unsupervised color image segmentation
Image and Vision Computing
Region-based Deformable Net for automatic color image segmentation
Image and Vision Computing
Automatic inspection of tobacco leaves based on MRF image model
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A label field fusion Bayesian model and its penalized maximum rand estimator for image segmentation
IEEE Transactions on Image Processing
Multivariate image segmentation using semantic region growing with adaptive edge penalty
IEEE Transactions on Image Processing
A modified support vector machine and its application to image segmentation
Image and Vision Computing
A color- and texture-based image segmentation algorithm
Machine Graphics & Vision International Journal
MDS-based segmentation model for the fusion of contour and texture cues in natural images
Computer Vision and Image Understanding
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We present an unsupervised multiscale color image segmentation algorithm. The basic idea is to apply mean shift clustering to obtain an over-segmentation and then merge regions at multiple scales to minimize the minimum description length criterion. The performance on the Berkeley segmentation benchmark compares favorably with some existing approaches