Images Retrieval Based on Integrated Features

Ching Hung Su; Huang Sen Chiu; Mohd Helmy A. Wahab; Tsai Ming Hsiehb; You Chiuan Li; Jhao Hong Lin

doi:10.4028/www.scientific.net/AMM.543-547.2292

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Images Retrieval Based on Integrated Features

Images Retrieval Based on Integrated Features

Abstract:

We propose a practical image retrieval scheme to retrieve images efficiently. The proposed scheme transfers each image to a color sequence using straightforward 8 rules. Subsequently, using the color sequences to compare the images, namely color sequences comparison. We succeed in transferring the image retrieval problem to sequences comparison and subsequently using the color sequences comparison along with the texture feature of Edge Histogram Descriptor to compare the images of database. We succeed in transferring the image retrieval problem to quantized code comparison. Thus the computational complexity is decreased obviously. Our results illustrate it has virtues both of the content based image retrieval system and a text based image retrieval system.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2292-2295

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2292

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Online since:

March 2014

Authors:

Ching Hung Su*, Huang Sen Chiu, Mohd Helmy A. Wahab, Tsai Ming Hsiehb, You Chiuan Li, Jhao Hong Lin

Keywords:

Color Code, Color Sequence Coding, Edge Histogram Descriptor, MPEG-7

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