Image indexing by modified color co-occurrence matrix

Seong-O Shim; Tae-Sun Choi

doi:10.1109/ICIP.2003.1247289

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Conference proceeding

Image indexing by modified color co-occurrence matrix

Seong-O Shim and Tae-Sun Choi

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), Vol.3, pp.III-493

2003

DOI: https://doi.org/10.1109/ICIP.2003.1247289

Abstract

Computational efficiency

Content based retrieval

Histograms

Image databases

Image retrieval

Image segmentation

Indexing

Pixel

Shape

Spatial databases

Image indexing based on modified color co-occurrence matrix (MCCM) is proposed in this paper. First, CCM is simplified to represent the number of color (hue) pairs between adjacent pixels in the image. And then, CCM is split into diagonal and non-diagonal elements that constitute two elements of MCCM. Indexing the image by MCCM could exploit shape information in abstract level. Proposed MCCM is accumulative feature. Experimental results show the superiority of the proposed MCCM based indexing in comparison to the indexing based on other accumulative features, color histogram and auto-correlogram with very competitive computational cost.

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Details

Title: Image indexing by modified color co-occurrence matrix
Creators - without role: Seong-O Shim - Gwangju Institute of Science and Technology
Tae-Sun Choi - Gwangju Institute of Science and Technology
Publication Details: Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), Vol.3, pp.III-493
Publisher: IEEE
Identifiers: 9933149108331
Academic Unit: University of Jeddah
Language: English
Resource Type: Conference proceeding