Efficient Image Retrieval Using Adaptive Segmentation of HSV Color Space

Authors:
Muhammad Riaz;Gwangwon Kang;Youngbae Kim;Sungbum Pan;Jongan Park
Affiliations:
-;-;-;-;-
Venue:
ICCSA '08 Proceedings of the 2008 International Conference on Computational Sciences and Its Applications
Year:
2008

Citing 0
Cited 2

Image segmentation using adaptively selected color space

ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Efficient algorithm for automatic road sign recognition and its hardware implementation

Journal of Real-Time Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an efficient image retrieval system using adaptive segmentation of Hue, Saturation and Value (HSV) color space. We classify the image into n number of areas based on different selected ranges of hue and value, then each area is partitioned into m number of segments based on the number of pixels it contains, the area which has more pixels will be partitioned into more segments and the area which has less pixels will be partitioned into less number of segments. This is used as a feature vector. Retrieval system outputs the image with a high matching factor. A small demonstration system has been tested and shows superior performance compared with the simple color based retrieval systems.