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
- EP ID EP650596
- DOI 10.24297/ijct.v13i10.2332
- Views 97
- Downloads 0
Advantage of Collaboration Workflows in the Automotive Supply Chain: Case Study on the Automotive Cluster of Slovenia
Strengthening of collaboration among individual business partners has proved essential for the structuring of Slovenian economy and enhancing competitive advantage on the global market. At the same time, ontology, as an...
AN ENHANCED TASK ALLOCATION STRATEGY IN CLOUD ENVIRONMENT
Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is...
RELATIVE STUDY OF SOLVERS FOR FINITE ELEMENT ANALYSIS
A relative study of various linear simultaneous equation solvers has been made. The profile solver and the block solver which have been considered to be most effective solution techniques have been implemented. Medium to...
Implementation of Dynamic Threshold Method for Human Motion Detection in Video surveillance application
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams int...
Fuzzy Mean Point Clustering using K-means algorithm for implementing the movecentroid function code
The paper focus on combination of K-Means algorithm for Fuzzy Mean Point Clustering Neural Network (FMPCNN). The algorithm is implemented in JAVA program code for implementing the movecentroid function code into FMPCNN.Â...