An image defined in the real world is considered to be a function of two real variables say x,y.
Before going to processing an image, it is converted into a digital form. Digitization includes sampling of image and quantization of sampled values.
After converting the image into bit information, processing is performed.
This processing technique may be,
Image enhancement
Image reconstruction
Image compression
Image enhancement refers to accentuation, or sharpening, of image features such as boundaries.
Image restoration is con ....etc

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Abstract
This pnper describes n sqjhunre tool thnt hns heendeveloped jiw production o f speech signnlprocessing system, but iiiqy he ensi!y expnndetl toinclude any I -ilinrensionnl signnl pi.ocessiiigprobleni with multiple inputs nnd outputs. The toolnllows the user to tlejine nn nrhitrnry set ofinterconnected signal processing junctions that oreinterlinked h,v vectors of signnl dntn, this kind ofprohlenr is thus expressed iii nn inhereentfy MIMD$ornint. This user-defined structure is pnrsed togenernte o con$gumtion description that J~ ....etc

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request:sir please send me full information about this project and ppt if possible what are the active methods for interactive image retrieval

my project abstract:
title:active learning methods for interactive image retrieval

RGB BASED IMAGE SEARCH ENGINE


Abstract:

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, ....etc

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An image defined in the real world is considered to be a function of two real variables say x,y.

Before going to processing an image, it is converted into a digital form. Digitization includes sampling of image and quantization of sampled values.

After converting the image into bit information, processing is performed.

This processing technique may be,
Image enhancement
Image reconstruction
Image compression

Image enhancement refers to accentuation, or sharpening, of image features such as boundaries.

Image restoration is co ....etc

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matlab code for tracking moving object using bounding box techniques ....etc

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ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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The various Medical images acquired directly from various instruments are in the AVI format, which reduces the easy control of image display without conversion to medical image standard, that is the DICOM format. The purpose of this project is to develop software to handle online data acquisition from medical equipments like Ultra Sound machine, control the display rate, convert the AVI image acquired from the Medical equipment directly to DICOM image with patient's detail's got from the user, freeze the AVI image frame of interest, convert the ....etc

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Hi,
I need to use FCC in multi-spectral image using Matlab for my project ....etc

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ACTIVE LEARNING METHODS FOR INTERACTIVE IMAGE RETRIEVAL - IMAGE PROCESSING

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful cla ....etc

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ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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