Tuesday, 13 November 2012

Monday, 21 May 2012

An interesting Image Processing Research Group's home page

An interesting  Image Processing Research Group's home page

 http://iprg.co.in/

A group of people motivated to work in Image Processing Domain. IPRG is a community of engineers and researchers who share an interest to join in the evolution of image processing research domains. The objective of  IPRG is to provide details which helps in the research as well as information sharing. This group is an open community and any interested individual can join the group.

Wednesday, 4 April 2012

Setup C compiler in Matlab Environment

Running mbuild

  1. Run mbuild -setup from MATLAB.
     Select a compiler. Additional platform-specific information follows.

    Windows

    Executing mbuild -setup on Windows displays a message of this type:
    Welcome to mbuild -setup.  This utility will help you set up  
    a default compiler.  For a list of supported compilers, see  
    http://www.mathworks.com/support/compilers/R2012a/win64.html 
     
    Please choose your compiler for building shared libraries or COM components: 
     
    Would you like mbuild to locate installed compilers [y]/n? n
     
    Select a compiler: 
    [1] Microsoft Software Development Kit (SDK) 7.1 
    [2] Microsoft Visual C++ 2005 SP1 
    [3] Microsoft Visual C++ 2008 SP1 
    [4] Microsoft Visual C++ 2010 
     
    [0] None 
    The preconfigured options files included with MATLAB for Windows appear in the following table.
    Note   These options apply only to the 32-bit version of MATLAB.

MESSIDOR: Digital Retinal Images

The MESSIDOR database has been established to facilitate studies on computer-assisted diagnoses of diabetic retinopathy. The research community is invited to test its algorithms on this database. On this page, you will find instructions on how to download the database.

 http://messidor.crihan.fr

Java + Matlab Link

Courtesy: Neeraj
%%%%%%%%%%%% MATLAB %%%%%%%%%%%%%%%%%%




import javax.swing.*;
J = JFrame('Neeraj')
L = JLabel('A Label has been created by neeraj kumar for laltu kumar jha');
P = J.getContentPane
P.add(L)
J.setSize(500,500);
J.setVisible(1)

f = javax.swing.JFrame;
set(f,'ComponentResizedCallback', @(handle,evt) disp(evt.getSource.getSize));
f.setSize(200,200);
f.show;



%%%%%%%%%%%%%%%%%%%%%%%%%%%%
n=100;
x=linspace(-3,3,n);
y=linspace(-3,3,n);
z=linspace(-3,3,n);
[X,Y,Z]=ndgrid(x,y,z);
F=320 * ((-X.^2 .* Z.^3 -9.*Y.^2.*Z.^3/80) + (X.^2 + 9.* Y.^2/4 + Z.^2-1).^3);
isosurface(F,0)
view([-52 8]);
grid on
%%%%%%%%%%%%%%%%%%%
ReplyDelete
%%%%%%%%%%%% MATLAB %%%%%%%%%%%%%%%%%%




import javax.swing.*;
J = JFrame('Neeraj')
L = JLabel('A Label has been created by neeraj kumar for laltu kumar jha');
P = J.getContentPane
P.add(L)
J.setSize(500,500);
J.setVisible(1)

f = javax.swing.JFrame;
set(f,'ComponentResizedCallback', @(handle,evt) disp(evt.getSource.getSize));
f.setSize(200,200);
f.show;



%%%%%%%%%%%%%%%%%%%%%%%%%%%%
n=100;
x=linspace(-3,3,n);
y=linspace(-3,3,n);
z=linspace(-3,3,n);
[X,Y,Z]=ndgrid(x,y,z);
F=320 * ((-X.^2 .* Z.^3 -9.*Y.^2.*Z.^3/80) + (X.^2 + 9.* Y.^2/4 + Z.^2-1).^3);
isosurface(F,0)
view([-52 8]);
grid on
%%%%%%%%%%%%%%%%%%%

Monday, 26 March 2012

http://vasc.ri.cmu.edu/idb/

One more Image Dataset!

Who is Lenna?

 [Standard Lena Image]

 

Introduction

The Lenna (or Lena) picture is one of the most widely used standard test images used for compression algorithms. The comp.compression FAQ says the following:
    For the curious: 'lena' or 'lenna' is a digitized Playboy centerfold, from November 1972. (Lenna is the spelling in Playboy, Lena is the Swedish spelling of the name.) Lena Soderberg (ne Sjööblom) was last reported living in her native Sweden, happily married with three kids and a job with the state liquor monopoly. In 1988, she was interviewed by some Swedish computer related publication, and she was pleasantly amused by what had happened to her picture. That was the first she knew of the use of that picture in the computer business.
For the full details on the history of this image check out this excellent May 2001 article in the Newsletter of the IEEE Professional Communication Society by Jamie Hutchinson. Here's an excerpt:
    Alexander Sawchuk estimates that it was in June or July of 1973 when he, then an assistant professor of electrical engineering at the USC Signal and Image Processing Institute (SIPI), along with a graduate student and the SIPI lab manager, was hurriedly searching the lab for a good image to scan for a colleague's conference paper. They had tired of their stock of usual test images, dull stuff dating back to television standards work in the early 1960s. They wanted something glossy to ensure good output dynamic range, and they wanted a human face. Just then, somebody happened to walk in with a recent issue of Playboy.The engineers tore away the top third of the centerfold so they could wrap it around the drum of their Muirhead wirephoto scanner, which they had outfitted with analog-to-digital converters (one each for the red, green, and blue channels) and a Hewlett Packard 2100 minicomputer. The Muirhead had a fixed resolution of 100 lines per inch and the engineers wanted a 512 x 512 image, so they limited the scan to the top 5.12 inches of the picture, effectively cropping it at the subject's shoulders.
The original image is still available as part of the USC SIPI Image Database in their "miscellaneous" collection.

Over the years there has been quite a bit of controversy over the use of this image. Some people proposed banning the use of this image because of its source. Also, Playboy threatened to prosecute the unauthorized use of the image. Check out an editorial by the editor of SPIE journal Optical Engineering. Check out a note by the former editor-in-chief of the IEEE Transactions on Image Processing. According to Wired Magazine, Playboy has eased up in its pursuit of the copyright violators of this image.

MICT Image Quality Evaluation Database

MICT Image Quality Evaluation Database

 http://mict.eng.u-toyama.ac.jp/mictdb.html

Biometrics Ideal Test dataset

Biometrics Ideal Test (or BIT for short) is a website for biometric database sharing and algorithm evaluation.

 http://www.idealtest.org/

BrainWeb: Simulated Brain Database

Another dataset

http://vasc.ri.cmu.edu/idb/

 The goal of the VASC Image Database is to share image data sets with researchers around the world.


Data Set Overview

  • Motion Data - A large set of motion series. In most cases, sampling rate is not available.
  • Road Sequences - Many road image sequences, taken from our Navlab series of vehicles.
  • Stereo Data - A large set of stereo (left/right) images. Baseline information is generally not available.
  • CIL's Stereo Data with Ground Truth - 3 sets of 11 images, including color tiff images with spectroradiometry
  • JISCT Data - Datasets prodvided by research groups at JPL, INRIA, SRI, CMU, and Teleos.
  • Faces and Facial expressions - Testing images for the face detection task, and the facial expression database.
  • Car Data - Testing images for the car detection task.

Monday, 12 March 2012

Chest Radiology Images

http://www.jsrt.or.jp/web_data/english03.html

Chest Lung Nodules and Non-nodules
Created by the Japanese Society of Radiological Technology (JSRT)
In cooperatin with the Japanese Radiological Society (JRS)

More Data Sets-http://www.petitcolas.net/fabien/watermarking/image_database/

Anna University - More Data sets -


Image database

  • Free for research purpose on image or signal processing and digital watermarks evaluation, including:
    • publication in conference proceedings;
    • publication of research results on the Web.
  • Restriction: any user of the image shall give credit to the copyright owner of the image. All the information regarding the said owner provided on this page shall be reproduced.
  • Forbidden to use for: product promotion, advertisement or any commercial purpose.
  • Saturday, 10 March 2012

    Random Dithering

    Random Dithering

    For each value in the image, simply generate a random number 1..256; if it is greater than the image value at that point, plot the point white, otherwise plot it black.  That's it.  This generates a picture with a lot of "white noise", which looks like TV picture "snow".  Though the image produced is very inaccurate and noisy, it is free from "artifacts" which are phenomena produced by digital signal processing.

    original image