A New Image Retrieval Method Based on Color Feature

Author

Zhu Qiaoqiao ; Huang Yuanyuan

Author_Institution

Nanjing Univ. of Aero.& Astronaut.(NUAA), Nanjing, China

fYear

2012

Firstpage

56

Lastpage

59

Abstract

A new color-based image retrieval method is proposed in the paper. The quantization precision of this algorithm is higher than that of supervised method and its efficiency well than unsupervised way. First, through the distance-matrix of color, the sample image is clustered in a self-organizing way, thus its palette can be obtained. Based on the palette, other images in the database are mapped in terms of min-distance. In this way, a uniform histogram according to the same palette can be obtained for each image in the database. Besides, this algorithm also combines the main color area to represent the spatial distribution of color. The experiments show that the method can gain very good experimental results which match human visual percept well.

Keywords

feature extraction; image colour analysis; image retrieval; pattern clustering; self-organising feature maps; visual databases; color distance matrix; color feature; color-based image retrieval method; human visual perception; image clustering; image database; palette; quantization precision; self-organizing approach; spatial distribution; uniform histogram; Algorithm design and analysis; Clustering algorithms; Feature extraction; Histograms; Image color analysis; Image retrieval; Quantization; Cluster; Color features; Content based image retrieval; Shape features;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4577-2120-5

Type

conf

DOI

10.1109/ISdea.2012.541

Filename

6173146