document for obstacle dection using ir sensors and at89s52 microcontroller ....etc

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presented by:
MS.Radha,J.V.Sangeetha,S.Suba bala sathiy


ABSTRACT:
Image signals might be corrupted by Impulse noise in the process of signal acquisition and transmission. In this paper,an efficient VLSI implementation for removing impulse noise is presented.Our extensive experimental results show that the proposed technique preserves the edge features and obtains excellent performances in terms of quantitative evaluation and visual quality. The design requires only low computational complexity and two ....etc

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Fuzzy Random Impulse Noise Removal
From Color Image Sequences



Abstract

In this paper, a new fuzzy filter for the removal of
random impulse noise in color video is presented. By working with
different successive filtering steps, a very good tradeoff between
detail preservation and noise removal is obtained. One strong filtering
step that should remove all noise at once would inevitably
also remove a considerable amount of detail. Therefore, the noise
is filtered step by step. In each step, noisy pixe ....etc

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send the detail for low cost vlsi implementation for the efficient of removal of impulse noise
....etc

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Abstract
A new impulse noise reduction method for colorimages is presented. Color images that are corrupted with impulsenoise are generally filtered by applying a grayscale algorithmon each color component separately or using a vector-based approachwhere each pixel is considered as a single vector. The firstapproach causes artefacts especially on edge and texture pixels.Vector-based methods were successfully introduced to overcomethis problem. Nevertheless, they tend to cluster the noise and toreceive a lower noise reduction performanc ....etc

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abstract and pdf for obstacle dection using ir sensors and at89s52 microcontroller ....etc

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Fuzzy Impulse Noise Detection and Reduction (VB.NET)
IEEE Transactions on Image Processing, Vol. 15, No. 5,

Abstract:
Removing or reducing impulse noise is a very active research area in image processing. In this paper we describe a new algorithm that is especially developed for reducing all kinds of impulse noise: fuzzy impulse noise detection and reduction method (FIDRM). It can also be applied to images having a mixture of impulse noise and other types of noise. The result is an image quasi without (or with very little) impulse ....etc

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A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision
Introduction
Images corrupted by impulse noise.
Objectives of noise removal:-
- Suppress the noise.
- To preserve the sharpness of edge.
Two-Stage impulse noise removal techniques used:-
- Neural Networks
- Fuzzy Decision
Neural Network
Neural network: information processing paradigm inspired by biological nervous systems, such as our brain
Structure: large number of h ....etc

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i want how earthquake detected using frequency modulation radio its process working mechanism
....etc

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I am working or rather thinking of making a project on collision detection and avoidance using the RF modules in a train simulation based scenario.
Please suggest me the algorithm which i should use in my project and also give me as much matter as you can provide...

With my due Regards.............. ....etc

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