Content-Based Image Retrieval using Color Quantization and Angle Representation

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 10

Abstract

An efficient non-uniform color quantization and similarity measurement methods are proposed to enhance the content-based image retrieval (CBIR) applications. The HSV color space is selected because it is close to human visual perception system, and a non-uniform color method is proposed to quantize an image into 37 colors. The marker histogram (MH) vector of size 296 values is generated by segmenting the quantized image into 8 regions (multiplication of 45°) and count the occurrences of the quantized colors in their particular angles. To cope with rotated images, an incremental displacement to the MH is applied 7 times. To find similar images, we proposed a new similarity measurement and other 4 existing metrics. A uniform color quantization of related work is implemented too and compared to our quantization method. One-hundred test images are selected from the Corel-1000 images database. Our experimental results conclude high retrieving precision ratios compared to other techniques.

Authors and Affiliations

Ihab Zaqout

Keywords

Related Articles

AN IMPLEMENTATION OF LOAD BALANCING ALGORITHM IN CLOUD ENVIRONMENT

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently overascalable network of nodes. Since Cloud computing stores the data and disseminated resources in the op...

Binary Quantum Communication using Squeezed Light: Numerical, Simulation, and Experimental Resuts

In this paper, the squeezed quantum state is generated using an optical parametric oscillator via a spontaneous parametric down conversion technique to investigate squeezed states with quantum noise in one quadrature bel...

Optimized Load Balancing Strategy In Cloud Computing : A Review

Now a days every organization is migrating towards  cloud computing as cloud computing is considered being more flexible and scalable as compared to other technologies. The technology simply means to provide the com...

Facebook in Higher Education: Social and Academic Purposes

With the rapid growth and popularity of Facebook among students in higher education, the aim of this study is to explore the usage purposes among students including their academic and non-academic usage purposes in relat...

A Hybrid Approach of AES and File Encryption to Enhance The Cloud Security

Cloud computing is a paradigm shift in the way we define software and hardware, and architect our IT solutions. The emerging cloud technologies, due to their various unique and attractive properties, are evolving with tr...

Download PDF file
  • EP ID EP650596
  • DOI 10.24297/ijct.v13i10.2332
  • Views 70
  • Downloads 0

How To Cite

Ihab Zaqout (2014). Content-Based Image Retrieval using Color Quantization and Angle Representation. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 13(10), 5094-5104. https://europub.co.uk/articles/-A-650596