Hi,
My name is Stephen Raj Kumar from Chennai, India. I'm doing my M.Tech., Embedded System in Hindustan University, Chennai, and my project work is based on ACO in Image Segmentation (Brain Tumor). I was going through some websites for some informations, and saw your site regarding ACO. Since my project is also based on the same, I kindly request you to help me out in it in finding out the codings for it because as you know its important and urgent.If you have any idea regarding it please let me know about it.

My email id raj.805 ....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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i need the matlab code for image segmentation ....etc

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hi this is anuragh sir,please send me any topic related to image segmentation using bottleneck method ....etc

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Abstract :
Watershed transformation is a powerful technique that can be efficiently used for image segmentation. Its use
for classifying and grading rice kernels has been discussed followed by its implementation on reconfigurable
devices. In this paper, we implement a watershed based segmentation algorithm on a Virtex-6 platform. The
main contribution of this work is the low execution time and minimal internal hardware resource occupation.
Watershed has been written in C-code and also in Verilog hardware descriptive language. The V ....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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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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SEGMENTATION TECHNIQUES FOR UNDERWATER IMAGES
The quality of underwater images is directly affected by various mediums. This emphasizes the necessity of application of Image Segmentation algorithms.
With the help of quantitative measures, the results of various segmentation algorithms are compared.
Introduction :
Image segmentation:
A technique that decomposes an image into meaningful parts or objects.
The result of this technique is a set of segments that collectively cover the entire image, or ....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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final year project documentation on image segmentation using k-mean in java or c++ code... ....etc

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