sensors onboard meteorological satellites such as modis and avhrr are able to collect information adequate in frequency but with low spatial resolution. the problem can be overcome, if one finds a way to increase the quality of the vegetation indices through searching in each individual pixel of the images, employing concurrent higher spatial resolution images. the objective of this study was t...

This paper aims to present a review of neural networks used in medical image processing. We classify neural networks by its processing goals and the nature of medical images. Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of neural network application for medical image processing and an outlook for the future research are also discuss...

Medical images have made a great influence on medicine, diagnosis, and treatment. The most important part of image processing is image segmentation. This helps in the selection of Region of interest(ROI) of various medical images, which helps in further processing of the medical image. In this paper, first of all, Medical Image processing is discussed briefly. Then, various Start of the Art met...

hyperion hyperspectral data contains a very rich source of information from the earth surface that collects 242 narrow contiguous spectral bands. achieving this source of rich information is subject to the performance of suitable image processing methods on raw satellite data. satellite image processing methods can be classified into two categories of statistical-based and spectral-based. in th...

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...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...

as the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. this processing comprises two fundamental and critical steps towar...

Graphics processing unit (GPUs) are used in wide range of application now a days particularly Medical image processing in GPU becomes popular recently. Medical imaging procedures are often computationally demanding due to three dimensional data sets. With enhancing performances of graphic processors, improved programming support, GPU has emerged as a competitive parallel computing platform for ...