The following paper presents a new Content-Based Image Retrieval algorithm. In its realization , we applied the Dual-Tree Complex Wavelet Transform for image features extraction and Hausdorff distance for similarity distance computing between the feature vector of the query-image and the image feature vectors stored in the image database. To estimate its efficiency, we performed some experiment...

Physiological functions (e.g., cerebral blood flow, glucose metabolism, and neuroreceptor binding) can be investigated as parameters estimated by kinetic modeling using dynamic positron emission tomography (PET) images. Imaging of these physiological parameters, called parametric imaging, can locate the regional distribution of functionalities. However, the most serious technical issue affectin...

Abstract: In a power system, the analysis of transient signals is the theoretical basis of fault diagnosis and transient protection theory. Shannon wavelet entropy (SWE) and Shannon wavelet packet entropy (SWPE) are powerful mathematics tools for transient signal analysis. Combined with the recent achievements regarding SWE and SWPE, their applications are summarized in feature extraction of tr...

This paper explains a study conducted based on wavelet based transform techniques. We have used discrete wavelet transform and wavelet packet decomposition. The database is created by using Malayalam (one of the south Indian Languages) language spoken words. Daubechies type of mother wavelet was used for the experiment. Six hundred and forty samples are collected, for the experiment. The featur...

A new rough-wavelet granular space based model for land cover classification of multispectral remote sensing image, is described in the present article. In this model, we propose the formulation of classdependent (CD) granules in wavelet domain using shift-invariant wavelet transform (WT). Shift-invariant WT is carried out with properly selected wavelet base and decomposition level(s). The tran...

the brain – computer interface (bci) provides a communicational channel between human and machine. most of these systems are based on brain activities. brain computer-interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. the success of this methodology depends on the selection of methods to process the brain signals in each pha...

TUFEKCI, z., and GOWDY, J.N.: ‘Feature extraction using discrete wavelet transform for speech recognition’. Proc. IEEE Southeastcon 2000, Nashville, USA, 2000, pp. 116-123 FAROOQ, o., and DATTA, s.: ‘Dynamic feature extraction by wavelet analysis’. Proc. 6th Int. Conf. Spoken Language Processing, Beijing, China, Oct. 2000, Vol. 4, pp. 696-699 CHANG, s., KWON, Y . , and YANG, S I . : ‘Speech fea...

Gait is a biometric feature and gait recognition has become a challenging problem in computer vision. New wavelet velocity moments have been developed to describe and recognize gait. Wavelet moments are translation, scale and rotation invariant. Wavelet analysis has the trait of multi-resolution analysis, which strengthens the analysis ability to image subtle feature. According with the psychol...