Image Segmentation Using 2-D Histogram In Rgb Color Space In Digital Libraries
Khalid, El Asnaoui, Brahim Aksasse, Mohammed Ouanan · Zenodo (CERN European Organization for Nuclear Research) · 2016
This paper presents an unsupervised color image segmentation method. It is based on a hierarchical analysis of 2-D histogram in RGB color space. This histogram minimizes storage space of images and thus facilitates the operations between them. The improved segmentation approach shows a better identification of objects in a color image and, at the same time, the system is fast.