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

[:=Read Full Message Here=:]

Abstract
This paper Driving without wheels, Flying without wings deals with the present scenario of magnetic levitation (maglev) with Linear induction motor (LIM) .The magnetically levitated train has no wheels, but floats-- or surfs-- on an electromagnetic wave, enabling rides at 330 miles per hour. By employing no wheels, maglev eliminates the friction, and concomitant heat, associated with conventional wheel-on-rail train configurations. There are two basic types of non-contact Maglev systems Electro Dynamic Suspension (EDS), and Electro ....etc

[:=Read Full Message Here=:]

to get information about the topic driving without wheels flying without wings full report refer the page link bellow

http://seminarsprojects.net/Thread-driving-without-wheels-and-flying-without-wings ....etc

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

To get full information or details of driving without wheels flying without wings please have a look on the pages

http://seminarsprojects.net/Thread-driving-without-wheels-and-flying-without-wings

if you again feel trouble on driving without wheels flying without wings please reply in that page and ask specific fields in driving without wheels flying without wings ....etc

[:=Read Full Message Here=:]

to get information about the topic flying without wings and without wheels related topic refer the page link bellow

http://seminarsprojects.net/Thread-driving-without-wheels-and-flying-without-wings ....etc

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

to get information about the topic driving without wheels flying without wings refer the page link bellow

http://seminarsprojects.net/Thread-driving-without-wheels-and-flying-without-wings

to get information about the topic driving without wheels flying without wings refer the page link bellow

http://seminarsprojects.net/Thread-driving-without-wheels-and-flying-without-wings ....etc

[:=Read Full Message Here=:]