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Title: Digital Image Processing Techniques for the Detection and Removal
Page Link: Digital Image Processing Techniques for the Detection and Removal -
Posted By: AAFIYA_KALEEM
Created at: Wednesday 09th of March 2011 06:32:39 PM
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hi can someone guide me with the code in MATLAB for the topic Digital Image Processing Techniques for the Detection and Removal ... ....etc

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Title: Image Processing Techniques for the detection and Removal of cracks in Dizitized Pain
Page Link: Image Processing Techniques for the detection and Removal of cracks in Dizitized Pain -
Posted By: pawangupta_iu
Created at: Tuesday 30th of March 2010 12:10:48 AM
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How i impliment Image Processing Techniques for the detection and Removal of cracks in Dizitized Paintings using .Net. ....etc

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Title: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti
Page Link: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti -
Posted By: electronics seminars
Created at: Wednesday 13th of January 2010 10:21:30 AM
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Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings

Abstract: An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this project. The cracks are detected by threshold the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing ....etc

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Title: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti
Page Link: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti -
Posted By: computer science crazy
Created at: Friday 18th of September 2009 12:45:32 AM
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Digital Image Processing Techniques for the Detection and Removal of Cracks in Digitized Paintings
Abstract: An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this project. The cracks are detected by threshold the output of the morphological top-hat transform. Afterward, the thin dark brush strokes which have been misidentified as cracks are removed using either a median radial basis function neural network on hue and saturation data or a semi-automatic procedure based on region growing. F ....etc

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Title: Implementation of Median and Mean filters using Bit planes for noise removal in image
Page Link: Implementation of Median and Mean filters using Bit planes for noise removal in image -
Posted By: seminar class
Created at: Monday 07th of March 2011 02:21:23 PM
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presented by:
K.PRATHYUSHA
T.RAJ KUMAR
D.PAPARAO
G.SHIRISHA


Bit plane
A Bit plane consists of the bits corresponding to the same significant level in all the elements
For example, the most significant bit plane is formed by considering the most significant bit(MSB) of each elements
The elements of a gray scale image have a maximum value of 255 and hence can be represented in binary domain using 8 bits
Higher order Bit planes of an image carry a significant amount of visually relevant deta ....etc

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Title: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti
Page Link: Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti -
Posted By: hemanthsa
Created at: Tuesday 24th of November 2009 12:40:57 PM
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Title: Fuzzy Random Impulse Noise Removal From Color Image Sequences
Page Link: Fuzzy Random Impulse Noise Removal From Color Image Sequences -
Posted By: computer girl
Created at: Monday 04th of June 2012 07:42:26 PM
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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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Title: matlab code for salt and pepper noise removal by median type noise detectors and detail preserving regularization
Page Link: matlab code for salt and pepper noise removal by median type noise detectors and detail preserving regularization -
Posted By:
Created at: Monday 22nd of July 2013 12:01:29 AM
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Dear Madam\sir,

I am a research student. i want the matlab codings for salt and pepper noise removal by median type noise detectors and detail preserving regularization for my project dissertation. ....etc

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Title: Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving
Page Link: Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving -
Posted By: seminar class
Created at: Saturday 07th of May 2011 01:35:21 PM
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Abstract
This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first
phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise
(noise candidates). In the second phase, the image is restored using a specialized regularization method
that applies only to those selected noise candidates. In terms of edge preservation and noise suppression,
our restored images show a significant improvement compared to those restored by using just nonlinear
filters or r ....etc

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Title: Digital image processing techniques for the detection and removal of cracks in digiti
Page Link: Digital image processing techniques for the detection and removal of cracks in digiti -
Posted By: seminar surveyer
Created at: Thursday 23rd of September 2010 07:40:25 PM
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Presented by
Ioannis Giakoumis, Nikos Nikolaidis, Ioannis Pitas
Department of Informatics
Aristotle University of Thessaloniki


Abstract
An integrated methodology for the detection and removal of cracks on digitized paintings is presented in this paper. The cracks are detected by thresholding the output of the morphological top-hat transform. Afterwards, the thin dark brush strokes which have been mis identified as cracks are removed using either a Median Radial Basis Function (MRBF) neural network on hue and saturation ....etc

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