Lab 1 - Basics of Image Processing

Lab 1 - Basics of Image Processing - University of...

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University of Louisville Dr. Aly A. Farag Electrical and Computer Engineering Spring 2008 ECE 619: Computer Vision Lab 1: Basics of Image Processing (Using Matlab image processing toolbox – Issued Thursday 1/10 – Due 1/24 ) Task 1: Execute the steps outlined below to get familiar with basics of image processing using Matlab. Task 2: Use your own image(s); submit a short report on the following tasks: 1) Image enhancement by histogram equalization; 2) Edge enhancement by the Cross window operator; 3) Edge detection by Canny operator; 4) Removal of white Gaussian noise using Gaussian and Median filters for different SNR. Help on this assignment was provided by Shireen Elhabian. Main Topics Example 1 — Some Basic Concepts . ......................................................................................... 1 Introduction. ............................................................................................................................ 1 Step 1: Read and Display an Image. ....................................................................................... 2 Step 2: Check How the Image Appears in the Workspace. .................................................... 2 Step 3: Improve Image Contrast . ............................................................................................ 3 Step 4: Write the Image to a Disk File. ................................................................................... 4 Example 2 — Advanced Topics . ................................................................................................ 4 Introduction. ............................................................................................................................ 4 Step 1: Read and Display an Image. ....................................................................................... 4 Step 2: Estimate the Value of Background Pixels . ................................................................. 5 Step 3: View the Background Approximation as a Surface . .................................................. 5 Step 4: Create an Image with a Uniform Background. ........................................................... 6 Step 5: Adjust the Contrast in the Processed Image . .............................................................. 6 Step 6: Create a Binary Version of the Image . ....................................................................... 7 Step 7: Determine the Number of Objects in the Image. ........................................................ 8 Step 8: Examine the Label Matrix . ......................................................................................... 8 Step 9: Display the Label Matrix as a Pseudocolor Indexed Image . ...................................... 9 Step 10: Measure Object Properties in the Image. .................................................................. 9 Step 11: Compute Statistical Properties of Objects in the Image. ........................................ 10 Example 1 — Some Basic Concepts
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This note was uploaded on 01/12/2012 for the course ECE 618 taught by Professor Amini during the Spring '08 term at University of Louisville.

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Lab 1 - Basics of Image Processing - University of...

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