Medical image classification as an important research topic both in image processing and biomedical engineering. The ridgelet transform has good directional selective ability to locally and sparsely in representing the image compared with the traditional wavelet transform. This paper proposes a novel classification model for medical image, which is using ridgelet transform and dynamic fuzzy the...

introduction: temporal lobe epilepsy (tle) is the most common and drug resistant epilepsy in adults. due to behavioral, morphologic and electrographic similarities, pilocarpine model of epilepsy best resembles tle. this study was aimed at determination of the changes in electroencephalogram (eeg) sub-bands amplitude during focal seizures in the pilocarpine model of epilepsy. analysis of these c...

FTIR appears as a very efficient technique to screen nanomaterial effects on organisms and speed up risk assessment.

Short-term constituents of the secular variation, at inter-decadal (20–30 years) and sub-centennial (60–90 years) time scales, present in observatory data and main field models, are also found in the radial field evolution at core surface. The paper is focused on the sub-centennial constituent in the gufm1 model. Time–Longitude (t–λ) plots, covering the 400 years time span of the model, at vari...

In this paper, the literature published on lossy compression of seismic data using the popular subband coding technique is reviewed. The strong links between subband coding, transform coding, and the more recent discrete wavelet transform coding are described. The performance of seismic data subband coding depends on the proper choice of lter bank and frequency partitioning in the subband domai...

Block Wavelet Transforms (BWTs) are orthogonal matrix transforms that can be obtained from orthogonal subband filter banks. They were initially generated to produce matrix transforms which may carry nice properties inheriting from wavelets, as alternatives to DCT and similar matrix transforms. Although the construction methodology of BWT is clear, the reverse operation was not researched. In ce...

In this paper, a method of super-resolution image reconstruction based on wavelet transform and edge-directed interpolation is put forward. Firstly the low resolution image is decomposed by the stationary wavelet transform; meanwhile, the image obtained from edge-directed interpolation is decomposed by discrete wavelet transform, then the three high frequency sub bands obtained through stationa...