Stopping region-based image segmentation at meaningful partitions
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
New algorithm for segmentation of images represented as hypergraph hexagonal-grid
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Rapid image segmentation using color, texture and syntactic visual features
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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The aim of this paper is to present how structural relationships among regions can be used in the context of a general merging algorithm based on texture. In [Region based analysis of video sequences with a general merging algorithm] and [Binary Partition Tree as an Efficient Representation for Image Processing, Segmentation, and Information Retrieval], the notions of merging order, merging model and merging criterion were introduced for thecreation of Binary-Partition-Trees (BPTs). We extend this framework to syntactic features, representing geometric relationships between image regions, which are taken into account for the creation of the BPT. In particular, we perform structure analysis on the shapes and the spatial configuration of image regions. In order to test the syntactic features approach, a proof of concept has been carried out following a quasi-inclusion criterion.