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Title: wine software ppt for seminars presentation
Page Link: wine software ppt for seminars presentation -
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Created at: Sunday 24th of March 2013 01:13:21 AM
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Title: wine software ppt for seminars
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Title: Detection and Removal of Cracks in Digitized Paintings
Page Link: Detection and Removal of Cracks in Digitized Paintings -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:52:11 PM
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Detection and Removal of Cracks in Digitized Paintings
IEEE Transactions on Image Processing, Vol. 15, No. 1, January 2006
Language: VB.NET

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. 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 o ....etc

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Title: download wine seminar ppt
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Title: wine software ppt for seminars
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Title: wine software ppt for seminars presentation
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Created at: Friday 23rd of September 2016 12:10:16 PM
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Title: wine software ppt for seminars presentation
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Created at: Saturday 08th of October 2016 02:04:26 AM
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Title: Removal of cracks in digitized paintings
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Posted By: AAFIYA_KALEEM
Created at: Wednesday 30th of March 2011 01:15:07 PM
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Title: Virtual Restoration of Ancient Chinese Paintings using Color Contrast Enhancement
Page Link: Virtual Restoration of Ancient Chinese Paintings using Color Contrast Enhancement -
Posted By: project topics
Created at: Monday 26th of April 2010 11:52:01 AM
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Abstract


This work presents a novel algorithm using color contrast enhancement and lacuna texture synthesis is proposed for the virtual restoration of ancient Chinese paintings. Color contrast enhancement based on saturation and de-saturation is performed in the u'v'Y color space, to change the saturation value in the chromaticity diagram, and adaptive histogram equalization then is adopted to adjust the luminance component. Additionally, this work presents a new patching method using the Markov Random Field (MRF) model of texture synthes ....etc

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