Method for Image Source Separation by Means of Independent Component Analysis: ICA, Maximum Entory Method: MEM, and Wavelet Based Method: WBM
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 11
Abstract
Method for image source separation based on Independent Component Analysis: ICA, Maximum Entropy Method: MEM, and Wavelet Based Method: WBM is proposed. Experimental results show that image separation can be done from the combined different images by using the proposed method with an acceptable residual error.
Authors and Affiliations
Kohei Arai
Keywords
Related Articles
- EP ID EP119905
- DOI 10.14569/IJACSA.2012.031113
- Views 95
- Downloads 0
Plant Leaf Recognition using Shape based Features and Neural Network classifiers
This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images corresponding to three plant types, are analyzed using two different shape modeling techniques, the first base...
A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns
Web-services have become a governing technology for Service Oriented Architectures due to reusability of services and their dependence on other services. The evolution in service based systems demands frequent changes to...
Analysis of Airport Network in Pakistan Utilizing Complex Network Approach
Field of complex network covers different social, technological, biological, scientific collaborative work, communication networks and many others. Among these networks, transportation network is an important indicator t...
An Enhanced Approach for Detection and Classification of Computed Tomography Lung Cancer
The paper presents approaches for nodule detection and extraction in axial lung computed tomography. The goal is to detect correctly pulmonary nodule to recognize and screen lung cancer patients. The pulmonary nodule det...
Unsupervised Ads Detection in TV Transmissions
A novel framework is presented that can segment semantic videos and detect commercials (ads) in a broadcasted TV transmission. The proposed technique combines SURF features and color Histogram in a weighted combination f...