background: medical image interpolation is recently introduced as a helpful tool to obtain further information via initial available images taken by tomography systems. this information may be useful for better diagnosis of possible lesions or better tumor delineation at radiation treatment. to do this, deformable image registration algorithms are mainly utilized to perform image interpolation ...

Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algorithms is to use Dimensionality Reduction (DR) techniques. This paper evaluates the effect of thr...

Weakly supervised learning has been rapidly advanced in biomedical image analysis to achieve pixel-wise labels (segmentation) from image-wise annotations (classification), as images naturally contain many scenarios. The current weakly algorithms the computer vision community are largely designed for focal objects (e.g., dogs and cats). However, such not optimized diffuse patterns imaging stains...

through the last three decades different seismological and engineering approaches for the generation of artificial earthquakes have been proposed. selection of an appropriate method for the generation of applicable artificial earthquake accelerograms (aeas) has been a challenging subject in the time history analysis of the structures in the case of the absence of sufficient recorded accelerogra...

We present a study of three model-based approaches to segmentation of medical data acquired by Magnetic Resonance (MR) Tomographs and some experience with their application. The models presented include a Point distribution model, a 2.5D high level symbolic model, and a Statistical model. Properties of the models are discussed and compared. The article is intended for technicians who deal with ...

A Thai written text is a string of symbols without explicit word boundary markup. A method for a development of a segmentation tool from a corpus of already segmented text is described. The methodology is based on the technology of competing patterns, evolved from algorithm for English hyphenation. A new UNICODE pattern generation program, OPATGEN, is used for the learning phase. We have shown ...

texture image analysis is one of the most important working realms of image processing in medical sciences and industry. up to present, different approaches have been proposed for segmentation of texture images. in this paper, we offered unsupervised texture image segmentation based on markov random field (mrf) model. first, we used gabor filter with different parameters’ (frequency, orientatio...