Frequently Asked Questions

1) What software do I need and where can I find them

• You will need LabVIEW and IMAQ Vision for running these demos. 
• LabVIEW and IMAQ can be purchased from National Instruments
• UT students can download these for free from http://www.engr.utexas.edu/itg/ni/

2) How do I run these demos ?

• Download the zip file for the module that you are interested in.
• Unzip the files (these are password protected). You will need winzip for unzipping these files.
• Just click on the .llb files in each Module for the LabVIEW demo to run.

• Download the image files from the main page or  click here to download image files (in zipped format).

• Feel free to contact umesh.rajashekar@gmail.com for any of your problems/ suggestions regarding these demos.

Download SIVA-DIP Demos

0) Download the entire SIVA-Image Processing Gallery or download what you are interested from the list below 

1) Demos for Module1 Couse Introduction
        A) Quantize - Demo to illustrate quantization
        B) Sample  - Demonstrates effects of sampling

2) Demos for Module2 (Binary Image processing)
        A) Threshold - Threshold a grayscale image to binary
        B) Binary
                a)Complement    - Complement opearation on binary images
                b)Morphology    - Many Morphological operators
                c)Skeleton         - Skeletonization in binary images

3) Demos for Module3 (Histogram and Point operations)
         A) Interpolation - Different interpolation in images
         B) Linear Point - Linear Point operations on images
         C) Histoshape  - Shape the Histogram of images
         D) Motion - Detect motion in images

4) Demos for Module4 (Discrete Fourier Transform, Sampling Theorem)
        A) Digital Sine - View sinusoids as images
        B) FFT - Demonstrates DFT of images
        C) MaskDFT - Effects of masking a DFT
        D) DFTDirectional - Effects of directional selectivity on DFTs
        E) ImportantF - Images of a few impulse functions

5) Demos for Module5 (Linear Filtering,Enhancement and Restoration)
        A) BPFilter - Difference of Gaussians
        B) HPFilter - View a High pass filter
        C) Average - Average low pass filter
        D) GaussFltr - Gaussian Noise smoothing filter
        E) DeconvPI - Deconvolution Inverse filter
        F) WienerFltr -Wiener Filter
        G) Noise - Effects of various types of noise
        H) Deblur - Deblurring a blurred image

6) Demos for Module6 (Non linear Image filtering)
        A) GLMorpho- GrayLevel Morphological operators
        B) HomoM - Homomorphic filtering
        C) PVDetect - Peak and Valley detector
        D) TrmFilter- Trimmed mean filter

7) Demos for Module7 (Digital Image Coding and Compression)
        A) EntropyRed - Reduction in Entropt
        B) BTC - Block truncation coding

8) Demos for Module8 (Template Matching Edge detection)
        A) Edge detect - Simple edge detectors
        B) Canny's - Canny's edge detector
        C) Laplacian - Zero crossings for Laplacian
        D) ThrLaplacian - Threshold selection for Laplacian edge detectoe
        D) LoG - Zero crossings of Laplacian of Gaussian edge detector
        E) ThrLoG - LoG edge detector
        F) Tempmatch - Template matching VI

9) Demos for Module9 (Hough transforms, B-splines, Stereo Imaging)
      A) Hough - Demo to show Hough transforms

10) Demos for Module10
      None as yet

11) Images