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...

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...

Recently, image processing technique and robotic vision are widely applied in fault detection of industrial products as well as document reading. In order to compare the captured images from the target, it is necessary to prepare a perfect image, then matching should be applied. A preprocessing must therefore, be done to correct the samples’ and or camera’s movement which can occur during the...

Recently, image processing technique and robotic vision are widely applied in fault detection of industrial products as well as document reading. In order to compare the captured images from the target, it is necessary to prepare a perfect image, then matching should be applied. A preprocessing must therefore, be done to correct the samples’ and or camera’s movement which can occur during the...

Vegetation studies helps to develop a profile on extensive areas affected by vegetation changes. Image processing techniques does manipulation of digital images for various applications. The satellite image processing is increasingly used for vegetation mapping. Now a day‟s both multi spectral sensors and hyper spectral sensors are used for vegetation monitoring. General Terms Remote sensing, V...

In this paper we have shown how a common multiscale morphological paradigm can be used to solve various image processing problems. We have implemented the schemes by using morphological tower which is based on multiscale operations satisfying causality and edge localization properties. The efficacy of the technique is illustrated for noise smoothing, contrast enhancement and multimodal image fu...

This article aims to present an overview of the different applications of data compression techniques in the image processing filed. Since some time ago, several research groups in the world have been developing various methods based on different data compression techniques to classify, segment, filter and detect digital images fakery. In this sense, it is necessary to analyze and clarify the r...