12 research outputs found
Multialgebraic Systems in Information Granulation
In different fields a conception of granules is applied both as a group of elements defined by internal
properties and as something inseparable whole reflecting external properties. Granular computing may be
interpreted in terms of abstraction, generalization, clustering, levels of abstraction, levels of detail, and so on. We
have proposed to use multialgebraic systems as a mathematical tool for synthesis and analysis of granules and
granule structures. The theorem of necessary and sufficient conditions for multialgebraic systems existence has
been proved
Distance Matrix Approach to Content Image Retrieval
As the volume of image data and the need of using it in various applications is growing significantly in
the last days it brings a necessity of retrieval efficiency and effectiveness. Unfortunately, existing indexing
methods are not applicable to a wide range of problem-oriented fields due to their operating time limitations and
strong dependency on the traditional descriptors extracted from the image. To meet higher requirements, a novel
distance-based indexing method for region-based image retrieval has been proposed and investigated. The
method creates premises for considering embedded partitions of images to carry out the search with different
refinement or roughening level and so to seek the image meaningful content
A PARTITION METRIC FOR CLUSTERING FEATURES ANALYSIS
Abstract: A new distance function to compare arbitrary partitions is proposed. Clustering of image collections and image segmentation give objects to be matched. Offered metric intends for combination of visual features and metadata analysis to solve a semantic gap between low-level visual features and high-level human concept