Using Image Segments in PicSOM CBIR System

Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi

Abstract: The content-based image retrieval (CBIR) system PicSOM uses a variety of low-level visual features for indexing an image database. In this paper we describe the implementation of segmentation into the PicSOM framework. That is, we have modified the system to use image segments as a supplement to entire images in order to improve the retrieval accuracy. In a series of experiments, we compare this new method to the baseline PicSOM system. The results confirm that using both segments and entire images together always increases the precision of retrieval.