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149 articles for “wavelet”

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Research ArticleOpen accessEvery word in the titleCONTENT BASED BATIK IMAGE CLASSIFICATION USING WAVELET TRANSFORM AND FUZZY NEURAL NETWORKAbdul Haris RangkutiIn this paper we introduce the content-based image classification using wavelet transform with Daubechies type 2 level 2 to process the characteristic texture consisting of standard deviation, mean and energy as Input variables, using the method of Fuzzy Neural Network (FNN). All the input value will be processed using fuzzyfication with 5 categories namely Very Low (VL), Low (L), Medium … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,683 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleINDEPENDENT COMPONENT ANALYSIS AND DISCRETE WAVELET TRANSFORM FOR ARTIFACT REMOVAL IN BIOMEDICAL SIGNAL PROCESSINGSalvatore Calcagno, Fabio La Foresta, Mario VersaciRecent works have shown that artifact removal in biomedical signals can be performed by using Discrete Wavelet Transform (DWT) or Independent Component Analysis (ICA). It results often very difficult to remove some artifacts because they could be superimposed on the recordings and they could corrupt the signals in the frequency domain. The two conditions could compromise the performance of both … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 27 Nov 2013 · 7,848 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIERS. T. Sadish Kumar, N. KasthuriNowadays Epileptic disorder is a most challenge aspects in brain activation. Electroencephalograph (EEG) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilepsy disorder, using discrete wavelet transform and neural network classifier. The EEG classification … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,657 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSPEECH/MUSIC CLASSIFICATION USING WAVELET BASED FEATURE EXTRACTION TECHNIQUESThiruvengatanadhan Ramalingam, P. DhanalakshmiAudio classification serves as the fundamental step towards the rapid growth in audio data volume. Due to the increasing size of the multimedia sources speech and music classification is one of the most important issues for multimedia information retrieval. In this work a speech/music discrimination system is developed which utilizes the Discrete Wavelet Transform (DWT) as the acoustic feature. Multi … …Journal of Computer Science, Vol. 10, Issue 1 · 8 Nov 2013 · 6,841 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA MODIFIED ADAPTIVE WAVELET SHRINKAGE SPECKLE FILTER FOR ULTRASOUND IMAGESNirmaladevi Periyasamy, Asokan RamasamyThe usage of ultrasound imaging for medical diagnosis is limited due to the presence of speckle noise. In this study Modified Adaptive Wavelet Shrinkage Filter (MAWSF) in the translational invariant domain is proposed for the removal of speckle noise. The adaptive wavelet threshold function removes the fixed bias of soft thresholding. A new inter-scale dependency model is proposed, to perform … …Journal of Computer Science, Vol. 9, Issue 10 · 16 Sep 2013 · 6,539 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Multi-Cracks in the Gate Rotor Shaft Based on the Wavelet Finite Element MethodBin ZhaoIn order to have fault identification for the gate rotor shaft with multiple cracks effectively, the quantity identification method of the gate rotor shaft with multiple cracks based on wavelet finite element method is established and the frequency test of the gate rotor shaft based on blind source separation algorithm is analyzed. Firstly the wavelet finite element was established by … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 3 · 12 Sep 2013 · 7,270 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGAUSSIAN MIXTURE MODEL BASED CLASSIFICATION OF MICROCALCIFICATION IN MAMMOGRAMS USING DYADIC WAVELET TRANSFORMSuman Mishra, Hariharan RanganathanBreast cancer is a serious health related issue for women in the world. Cancer detected at premature stages has a higher probability of being cured, whereas at advanced stages chances of survival are bleak. Screening programs aid in detecting potential breast cancer at early stages of the disease. Among the various screening programs, mammography is the proven standard for screening … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,867 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWavelet 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 accessEvery word in the titleA 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 accessEvery word in the titleVideo 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