### Statistical Region Merging (SRM), Consensus Region Merging (CRM)

I have been interested in image segmentation for over a decade, and from time to time, I extend our initial technique, called Statistical Region Merging (SRM, PAMI 2004).

Usually, time is a constraint, and many approaches have been designed (the usual suspects are mean shift and normalized cuts)

I have been concerned with the following problem: **Can we design a segmentation algorithm that always (smoothly) improve with time?**

I will present a first attempt (with a first theoretical analysis) at the 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013).

Here is the poster, with the paper.

It is fast and delivers soft contour segmentation (SRM is hard contour segmentation).