Here, the fast image contrast enhancement is achieved based on histogram equalization (HE) both for color images and the gray-level images. A process called Multi-HE is proposed for the gray-level images. In this method, the input image is decomposed into several sub-images and then the classical HE process is applied to each of the sub-images separately. Also two different discrepancy functions are proposed for the purpose of decomposing the input image. Many simulations have been run and they show that both these methods are better in preserv ....etc

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automatic segmentation of digital images applied in cardiac medical images powerpoint ....etc

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A Fuzzy Noise Reduction Method for Color Images - IEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 5, - java

Abstract A new fuzzy filter is presented for the reduction of additive
noise for digital color images. The filter consists of two subfilters.
The first subfilter computes fuzzy distances between the color
components of the central pixel and its neighborhood. These distances
determine in what degree each component should be corrected.
All performed corrections preserve the color component
distances. The goal of the sec ....etc

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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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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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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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to get information about the topic histogram specification a fast and flexible method to process digital images full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-histogram-specification-a-fast-and-flexible-method-to-process-digital-images

http://seminarsprojects.net/Thread-digital-image-watermarking-capacity-and-detection-error-rate ....etc

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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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i am making ppt on 3d color histogram equalization method using 1d gray scale histogram. need information on same. ....etc

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Can you please provide fully executable matlab cade for Dewarping or Deskewing text lines of document images?

Regards,
Nabanita ....etc

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