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Title: Fast Re-Route FRR and Fast Convergence FC reduce Page Link: Fast Re-Route FRR and Fast Convergence FC reduce - Posted By: Priyesh raut
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Title: ppt slideshow project for histogram specification a fast and flexible method to proc Page Link: ppt slideshow project for histogram specification a fast and flexible method to proc - Posted By: satyajit
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Title: Histogram and histogram processing Page Link: Histogram and histogram processing - Posted By: koolkiks4me
Created at: Thursday 17th of August 2017 06:09:43 AM
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Histogram and histogram processing
Histogram: application
Distribution of gray-levels can be judged by measuring a histogram
Histogram provides global descriptions of the image (no local
details)
Fewer, larger bins can be used to trade off amplitude resolution
against sample size. ....etc
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Title: FAST AUTOMATIC METHOD FOR RIGID REGISTRATION OF MR IMAGES OF HUMAN BRAIN Page Link: FAST AUTOMATIC METHOD FOR RIGID REGISTRATION OF MR IMAGES OF HUMAN BRAIN - Posted By: sandeepsonee
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FAST & AUTOMATIC METHOD FOR RIGID REGISTRATION OF MR IMAGES OF HUMAN BRAIN
SUBMITTED BY:
INDU LATA PREM
S7 AEI
College Of Engineering, Trivandrum
2007-11 batch
Hi friends, If you like this presentation, don't forget to thank the author [email protected]
OVERVIEW
INTRODUCTION
IMAGE REGISTRATION
CLASSIFICATION
APPROACHES
METHOD
EXPERIMENTAL RESULTS
ADVANTAGES
DISADVANTAGES
CONCLUSION
INTRODUCTION
Method for 3d registration.
Fast and automatic met ....etc
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Title: histogram specification matlab code without using builtin functions Page Link: histogram specification matlab code without using builtin functions - Posted By: vijitha
Created at: Friday 06th of October 2017 03:06:02 PM
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histogram specification matlab code without using builtin functions
clc
I = imread ('Machine-Edge.PNG');
I2 = rgb2gray(I);
colormap gray;
y = imhist(I2);
%using hist eq. built in fn
I3= histeq(I2);
z= imhist(I3);
%my equalization
r = size(I2,1);
c = size(I2,2);
A= zeros(1,256);
%counting number of pixels of the image and putting the count in Array A
for j=1:r
for x=1:c
v=I2(j,x);
A(v+1)=A(v+1)+1;
end
end
%pi=n/size
for y=1;256
pi(y)= ((A(y))/(r*c));
end
%calculate CI (cumulated pi )
ci(1)= ....etc
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Title: a novel 3d color histogram equalization method with uniform 1 d gray scale histogram Page Link: a novel 3d color histogram equalization method with uniform 1 d gray scale histogram - Posted By: p.diljith
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Title: automatic segmentation of digital images applied in cardiac medical images ppt Page Link: automatic segmentation of digital images applied in cardiac medical images ppt - Posted By: srj
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Title: Histogram Specification A Fast and Flexible Method to Process Digital Images Page Link: Histogram Specification A Fast and Flexible Method to Process Digital Images - Posted By: anjalickd
Created at: Thursday 17th of August 2017 05:07:31 AM
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Histogram Specification: A Fast and Flexible Method
to Process Digital Images
Abstract
Histogram specification has been successfully used in
digital image processing over the years. Mainly used as an image
enhancement technique, methods such as histogram equalization
(HE) can yield good contrast with almost no effort in terms of
inputs to the algorithm or the computational time required. More
elaborate histograms can take on problems faced by HE at the
expense of having to define the final histogra ....etc
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