Improving histology images segmentation through spatial constraints and supervision

We introduce two approaches to improve an existing color segmentation technique based on a Split and Merge quantization process for the study of stained histological images. We propose to modify the merge criterion : first, we include a spatial constraints heuristic; then we suggest the use of supervision and a more elaborated visual features representation. We tested these approaches on a renal biopsies dataset to automatically quantify interstitial fibrosis and show that supervision brings very significant improvements.

• Type: Journal
• Year: 2010
• Where: ICIP
• Authors: Nicolas Hervé, Aude Servais, Eric Thervet, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid
• Keywords: Color Segmentation Technique, Elaborated Visual Features, ICIP 2010, Image Processing, Merge Criterion