|
Lead TA: Andrew Hundt
Due Date: Tuesday, January 27th, 2009
Lab Purpose:
This lab will help you understand some fundamental concepts of machine vision such
as thresholding, contrast and histograms.
Assignment:
Write a program (or three programs) that has the following functionality:
- Thresholding:
Write a program that reads in a PGM file, takes as
input a number "n", and outputs a binary image. All pixels in
the output image are "black" if their corresponding pixels in the input
image are below "n". The remaining pixels in the output image
are "white." Save the resulting image as a file.
- Contrasting:
Write a program that searches for the lowest and highest
pixel value in an image and then scales the image such that the lowest
value is 0 and the highest value is 255. Save the resulting image as a file.
- Histogram:
Compute the histogram of an image. Output the data in
a meaningful manner.
Test your program(s) on three different PGM images
- Mona Lisa
- The letter corresponding to your group (A = Group 1; B = Group 2, etc...)
- Any PGM image of your choice
Hand in:
Create a website that demonstrates the following:
- The output of your threshold, contrast, and histogram algorithms on the three PGM images that you tested.
- Each image should be displayed as a JPEG (including the histogram)
- Include a link to your source code
Email the URL of the website to Somchaya.
Tools for converting PGM to JPEG (and vice versa):
NOTE: To ensure everything works for you, make sure you convert to an 8-bit, ASCII PGM Image.
|
