Myself BLACK,doing my Engineering final year in PSP college.For my final year project i am working Medical image processing field.Now i want ideas regarding the article Non local means speckle filtering of ultrasound images using Bayesian framework.I have attached the abstract of the project.

Abstract In image processing, restoration is expected to improve
the qualitative inspection of the image and the performance
of quantitative image analysis techniques. In this paper, an adaptation
of the nonlocal (NL)-means filter is proposed for ....etc

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Abstract Security risk assessment and mitigation are two vital processes that need to be executed to maintain a productive IT infrastructure. On one hand, models such as attack graphs and attack trees have been proposed to assess the cause-consequence relationships between various network states, while on the other hand, different decision problems have been explored to identify the minimum-cost hardening measures. However, these risk models do not help reason about the causal dependencies between network states. Further, the optimization form ....etc

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why is classifier used in tree based mining for discovering patterns of human interactions in meetings? ....etc

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Sparse Bayesian Learning Of Filters For Efficient Image Expansion

Image Processing- Dotnet

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones. ....etc

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i need matlab code for classifying mammographic images using svm classifier ....etc

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Bayesian Networks are becoming an increasingly important area for research and application in the entire field of Artificial Intelligence. This paper explores the nature and implications for Bayesian Networks beginning with an n overview and comparison of inferential statistics and Bayes theorem. The nature, relevance and applicability for Bayesian Network theories for advanced computability form the core of the current discussion.

A number of current applications using Bayesian networks are examined. The paper concludes with a brief descri ....etc

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to get information about the topic morphological operation to remove noise and unwanted segment full report refer the page link bellow

http://seminarsprojects.net/Thread-morphological-image-processing-full-report?pid=15954&mode=threaded ....etc

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please send me synopsis of fault analysis of electronic circuit using matlab bcd to 7 segment
please provide me synopsis of dis project..
....etc

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to get information about the topic segment a tumor from brain related topic refer the page link bellow

http://seminarsprojects.net/Thread-brain-tumor-detection-based-on-multiparameter-mri-image-analysis?pid=36634&mode=threaded ....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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