Object representation using colour, shape and structure criteria in a binary partition tree

Binary Partition Trees (BPTs) are a well known technique used for region-based image representation and analysis. BPTs are usually created as a result of a merging process based on homogeneity properties, such as colour or motion. In this paper, we present a BPT creation technique based on a general merging algorithm, where the homogeneity criteria are neither low-level (pixel oriented, intra-region), nor high-level features (object oriented, semantics), but a combination of several criteria including regionbased and structural features such as shape and partial-inclusion. We are thus combining intra-region homogeneity (e.g colour-based) with inter-region homogeneity (structural), with the long term aim of bridging the gap in region-based image analysis from low-level features to a higher level interpretation of the image by the intermediate description of the image structure (which we call ”syntactic visual features”). Syntactic visual features are geometric relationships among r...

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Christian Ferran Bennström, Josep R. Casas
• Keywords: Homogeneity Properties, ICIP 2005, Image Processing, Region-based Image, Structural Features