FPGA BASED DESIGN AND VERIFICATION OF IMAGE SEGMENTATION FOR MEDICAL SYSTEMS AND DATA PROCESSING
AIM OF THE PROJECT
Performing the medical image segmentation using FPGA hardware kit.
Image Segmentation is to divide an image into different regions to understand clearly about the error.
In our project image segmentation can be done by using clustering technique.
For segmenting the segmentation process, we need 3 softwares.
Matlab,
EDK tool
visual basic 6.0
MEDICAL IMAGE SEGMENTATION
Medical image is nothing b ....etc

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sir please send ppt , code etc for hairis : automatic image registration through histogram based image segmentation
mail id : [email protected] ....etc

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please give me some information about jseg.. i need to give a seminar on dis topic ....etc

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SECURE INTERNET VERIFICATION BASED ON IMAGE PROCESSING SEGMENTATION ppt ....etc

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Presented By
N.V.L Deepak & M.Ravi


ABSTRACT:
A novel algorithm for image retrieval is presented in this paper. The basic idea of the new algorithm is that the constituent segments of the images are used to retrieve images within a digital library. Image retrieval using segments is distinctive in that the local features of the image are used to retrieve the image instead of the typically utilized global features. In our algorithm, the given image is first segmented into dominant components and then the featur ....etc

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HI frnds
I need the project information about ROBUST FUZZY IMAGE SEGMENTATION ALGORITHM and also its ppts and all the relevant information. ....etc

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Abstract
This paper addresses the problem of segmenting an image into regions. We de¯ne
a predicate for measuring the evidence for a boundary between two regions using a
graph-based representation of the image. We then develop an e±cient segmentation
algorithm based on this predicate, and show that although this algorithm makes greedy
decisions it produces segmentations that satisfy global properties. We apply the algorithm
to image segmentation using two di®erent kinds of local neighborhoods in
constructing the graph, and ill ....etc

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segmentation algorithm for medical image segmentation. The use of the conventional watershed algorithm for medical image analysis is widespread because of its advantages, such as always being able to produce a complete division of the image. However, its drawbacks include over-segmentation and sensitivity to false edges. We address the drawbacks of the conventional watershed algorithm when it is applied to medical images by using k-means clustering to produce a primary segmentation of the image before we apply our improved watershed segmentatio ....etc

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SECURE INTERNET VERIFICATION BASED ON IMAGE PROCESSING SEGMENTATION


ABSTRACT:

From security point of view, fingerprints and biological data in
general constitute sensitive information that has to be protected.
Towards this direction, the method discussed in this paper isolates a
very small fraction of the userâ„¢s biological data, and only this
fraction is stored for future reference. This can also improve the
overall efficiency and bandwidth effectiveness of the system.
The novel application of ....etc

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Presented by:
E.Malleswara Rao


Image Segmentation Using Information Bottleneck Method
The purpose of this paper is to introduce new segmentation algorithms using a hard version of the information bottleneck method. The objective of this method is to extract a compact representation of a random variable with minimal loss of mutual information with respect to another variable.
Problem Definition:
Existing system:
New segmentation algorithms using a hard version of the information bottleneck m ....etc

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