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INpainting
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This document code is based on the MAC system under the MATLAB combined with C code image restoration method.
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Image restoration
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Application background AppWizard has created this ImageProcessing application for you. & nbsp; this application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
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A new algorithm of two valued image labeling
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Application background A new algorithm, document and code based on two value image of the marked area.Function: BWLabelFunction: to achieve the two value of the image of the connected region labelingParameters:PnBW--- points to two value image data, the pixel value is 0, 1PnBWLabel--- image after pointing to the tagNImageWidth, nImageHeight--- image Gao KuanConnection mode of nMode--- neighborhood: 8 is eight, 4 is four.
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Texture MRF synthesis image
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Application background This archive contains the corresponding code and the corresponding paper, specific information please see the package. Semi causal nonparametric Markov random field texture synthesis, texture synthesis via a noncausal nonparametric multiscale Markov random field, '' IEEE Transactions on Image the processing.
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OpenGL 3D scene rendering
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Application background 1, directly double click the 3DSLOADER.vcproj folder in the 3DSLOADER project file;2, the procedure is in the VC2008 debugging through, the operation process need to OpenGL library function
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MRF_based_image_completion
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Application background AppWizard has created this MRF based DLL for you. . This file contains a summary of what you will find in each of the files that & nbsp; make up your MRF based application.
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Texture image inpainting method based on C samplin
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Application background Final Project Sooraj; Bhat CS7495Removal by Exemplar-based Inpainting USING; THE CODE ObjectWas done in Matlab and MEX i.e. (a C function callable from EverythingMatlab). First, C code needs to be compiled. At; the Matlab theType:, prompt bestexemplarhelper.c mexShould then be able to run the following which (takes ~2mins on my YouPentium laptop 4 with 256MB of RAM 2GHz): , , [i1, I2, I3, C, D, mov] = inpaint ('bungee0.png','bungee1.png', [0 255 0]);Smaller run would (seconds ~25) be: A , , [i1, I2, I3, C, D, mov] = inpaint ('bw0.png','bw2.png', [0 255 0]);Visualize: To plotall; close; movie (mov);IMAGES & SAMPLE; RESULTS *0.png; original images The (and'bungee''bw') *{1,2}.png; different fill region masks. The Plots; of confidence and data terms. *P2.png *P5.png; of original Plots, region fil
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Opencv save video
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Application background This is a OpenCV to save video images of the code, want to learn this aspect can download learning, combined with the content of C/C++, it is worth learning, welcome to exchange,I wish you a happy life.
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Inpainting Image
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Application background This is a code for image restoration, want to learn this aspect can download learning, combined with the content of C/C++, it is worth learning, welcome to exchange,I wish you a happy life.
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