I WANT MATLAB PROGRAM FOR HIDING IMAGE IN A VIDEO .PIS SEND IT ON MY EMAIL [email protected] ....etc

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i m in need of project report n ppt of converting color from rgb to hsi using matlab
plz mail it to my emailid: [email protected]

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pallavi ....etc

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To get full information or details of dimension reduction in hyperspectral image matlab code please have a look on the pages

http://seminarsprojects.net/Thread-why-use-hyperspectral-imagery

http://seminarsprojects.net/Thread-towards-real-time-compression-of-hyperspectral-images-using-virtex-ii-fpgas

if you again feel trouble on dimension reduction in hyperspectral image matlab code please reply in that page and ask specific fields ....etc

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i need a MATLAB code for denoising DICOM image..

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Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Antonio Plaza
Department of Computer Science, University of Extremadura
Avda. de la Universidad s/n, E-10071 Caceres, Spain


Abstract.
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression algorithms for hyperspectral imagery. Unfortunately, most availab ....etc

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To get full information or details of matlab code for brain tumor detection using matlab code please have a look on the pages

http://seminarsprojects.net/Thread-need-matlab-code-for-brain-tumor-detection-based-on-multi-parameter-mri-image-analys

http://seminarsprojects.net/Thread-brain-tumor-detection-based-on-multiparameter-mri-image-analysis

http://seminarsprojects.net/Thread-brain-tumor-detection-using-color-based-k-means-clustering-segmentation-full-report-u?pid=148031

http://seminarsprojects.net/Thread-an-improved-implementation-of-b ....etc

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gabor matlab code for hyperspectral image

Abstract

Sparse-representation-based classification (SRC) assigns a test sample to the class with minimum representation error via a sparse linear combination of all the training samples, which has successfully been applied to several pattern recognition problems. According to compressive sensing theory, the l1-norm minimization could yield the same sparse solution as the l0 norm under certain conditions. However, the computational complexity of the l1-norm optimization process is often too high for l ....etc

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HYPERSPECTRAL IMAGING


INTRODUCTION

With the advent of new technologies, the field of remote sensing too has gained a new height. Hyperspectral imaging collects and processes information from across electromagnetic spectrum. The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors and software to analyze the resulting image data. Fifteen years ago only spectral remote sensing experts had access to hyperspectral images or softwar ....etc

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False color (or false colour) refers to a group of color rendering methods used to display images in color which were recorded in the visible or non-visible parts of the electromagnetic spectrum. A false-color image is an image that depicts an object in colors that differ from those a photograph (a true-color image) would show.In addition, variants of false color such as pseudocolor (see discussion), density slicing (see discussion), and choropleths (see discussion) are used for information visualization of either data gathered by a single gr ....etc

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Why Use Hyperspectral Imagery



Introduction

While multispectral images have

been in regular use since the 1970s,

the widespread use of hyperspectral

images is a relatively recent trend.

Hyperspectral imaging, also known as im-

aging spectrometry, is now a reasonably fa-

Wmiliar concept in the world of remote sensing.

However, for many remote sensing specialists who

have not yet had the opportunity to use hyperspectral imagery in ....etc

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