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59 results for “transform techniques”
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Research ArticleOpen accessIn the abstractWavelet Statistical Texture Features with Orthogonal Operators Tumour Classification in Magnetic Resonance Imaging BrainR. Meenakshi, P. AnandhakumarTumors medically also called neoplasms are an abnormal mass of tissue resulting from uncontrolled proliferation or division of cells occurring in the human body. If such growth is located in the brain then it is called as brain tumor. Identification of such tumors is a major challenge in the field of medical science. Early identification of tumors prove to be … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractSPECTRAL DOMAIN FEATURES FOR OVARIAN CANCER DATA ANALYSISAhmed Farag Seddik, Riham Amin Hassan, Mahmoud A. FakhreldeinThe early detection of cancer is crucial for successful treatment. Medical researchers have investigated a number of early-diagnosis techniques. Recently, they have discovered that some cancers affect the concentration of certain molecules in the blood, which allows early diagnosis by analyzing the blood mass spectrum. Researchers have developed several techniques for the analysis of the mass-spectrum curve analysis and used … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 6,915 accessesView PDFCite
Research ArticleOpen accessIn the abstractA High Secure and Robust Image Steganography Using Dual Wavelet and Blending ModelR. Bhavani, Prabakaran GanesanSteganography is an ability of concealing information inside the cover in such a way it looks like simple cover though it has concealed information. There are many techniques to carry out steganography on electronic media, most especially audio and image files. In this method, we proposed a high secure steganography scheme hiding a 256×256 size gray secret image into a … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Satellite Image Pre-Processing TechniquesT. Sree Sharmila, K. Ramar, T. SreeRenga RajaSatellite images are corrupted by noise in its acquisition and transmission. The removal of noise from the image by attenuating the high frequency image components, removes some important details as well. In order to retain the useful information and improve the visual appearance, an effective denoising and resolution enhancement techniques are required. In this research, Hybrid Directional Lifting (HDL) technique … …Journal of Computer Science, Vol. 9, Issue 2 · 1 Apr 2013 · 7,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractVideo Coding Technique Using 3D Dualtree Discrete Wavelet Transform with Multi Objective Particle Swarm Optimization ApproachesThamarai Muthusamy, Shanmugalakshmi RamachandranWavelet-based image compression with Wavelet transform based motion compensated video codec performs better compression to meet the rate and distortion constraints in video transmission with the available bandwidth than the block based techniques. However, it is well known that the 2D DWT does not represent directional features of images efficiently. Lots of efforts have been contributed to multiscale directional representation. … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 20 Feb 2013 · 6,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Biometrics using Feature FusionK. Krishneswari, S. ArumugamProblem statement: Biometric is a unique, measurable physiological or behavioral characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometric for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Image Classification Using Genetic Optimized Elman NetworkT. Baranidharan, D. K. GhoshProblem statement: Advancements in the internet and digital images have resulted in a huge database of images. Most of the current search engines found in the web depends only on images that can be retrieved using metadata, which generates a lot of unwanted results in the results got. Content-Based Image Retrieval (CBIR) system is the utilization of computer vision techniques … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 7,717 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Image Retrieval using Novel Gaussian Fuzzy Feed Forward-Neural NetworkC. Ramesh Babu Durai, V. DuraisamyProblem statement: With extensive digitization of images, diagrams and paintings, traditional keyword based search has been found to be inefficient for retrieval of the required data. Content-Based Image Retrieval (CBIR) system responds to image queries as input and relies on image content, using techniques from computer vision and image processing to interpret and understand it, while using techniques from information … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractHighway Traffic Incident Detection using High-Resolution Aerial Remote Sensing ImagerySeyed Mostafa Mousavi Kahaki, Md. Jan NordinProblem statement: As vehicle population increases, Intelligent Transportation Systems (ITS) become more significant and mandatory in today’s overpopulated world. Vital problems in transportation such as mobility and safety of transportation are considered more, especially in metropolitans and highways. The main road traffic monitoring aims are: the acquisition and analysis of traffic figures, such as number of vehicles, incident detection and … …Journal of Computer Science, Vol. 7, Issue 6 · 15 Jun 2011 · 7,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractFault Detection and Classification in Power Electronic Circuits Using Wavelet Transform and Neural NetworkVenugopal Prasannamoorthy, Nanjundappan DevarajanProblem statement: The identification of faults in any analog circuit is highly required to ensure the reliability of the circuit. Early detection of faults in a circuit can greatly assist in maintenance of the system by avoiding possibly harmful damage borne out of the fault. Approach: A novel method for establishing a fault dictionary using Wavelet transform is presented. The … …Journal of Computer Science, Vol. 7, Issue 1 · 15 Jan 2011 · 8,415 accessesView PDFCite