Unsupervised multiscale color image segmentation based on MDL principle
Qiming Luo, Taghi M. Khoshgoftaar · IEEE Transactions on Image Processing · 2006
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 campares favorably with some existing approaches.