Conference Proceeding

A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model

Cidade Universitaria, Brasil
01/2007; DOI:10.1109/HIS.2006.264908 In proceeding of: Hybrid Intelligent Systems, 2006. HIS '06. Sixth International Conference on
Source: IEEE Xplore

ABSTRACT A novel hybrid system for shape-based image retrieval using the curvature scale space (CSS) and self-organizing map (SOM) methods is presented. The shape features of images are represented by CSS images extracted from, for example, a large database and they are processed using the PCA technique. These processed CSS images constitutes the training dataset for a SOM neural network which, in turn, will be used for performing efficient image retrieval. Experimental results using a benchmark database are presented to demonstrate the usefulness of the proposed methodology.

0 0
 · 
0 Bookmarks
 · 
25 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

CSS images
 
efficient image retrieval
 
Experimental results
 
images
 
novel hybrid system
 
processed CSS images
 
self-organizing map
 
shape features
 
shape-based image retrieval
 
SOM neural network
 
training dataset
 
usefulness