Digital Image Processing / Fall 2001

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Presentation transcript:

Digital Image Processing 0909.452.01/0909.552.01 Fall 2001 Lecture 1 September 10, 2001 Shreekanth Mandayam ECE Department Rowan University http://engineering.rowan.edu/~shreek/fall01/dip/

Plan What is an image? Digital image processing Course logistics Mathematical representation of monochromatic images What is a digital image? Digital image processing Fundamental steps Why do we need this? Course logistics Self-Assessment Test Sampling & Quantization Image Preprocessing Pre-Lab 1

Images row column x y f(x, y) Sample Quantize

Digital Image y x Gray Level f(x,y)

Fundamental Steps* Knowledge Base Representation & Description Preprocessing Segmentation Problem Domain Knowledge Base Image Acquisition Recognition & Interpretation Result *Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addison-Wesley, 1992

DIP: Details

DIP: Course Logistics http://engineering.rowan.edu/~shreek/fall01/dip/

Sampling & Quantization demos/demo1sampling_and_quantization/demo_sampling.m Quantization demos/demo1sampling_and_quantization/demo_quant.m

Image Preprocessing Enhancement Restoration Inverse filtering Wiener filtering Spatial Domain Spectral Domain Filtering >>fft2/ifft2 >>fftshift Point Processing >>imadjust >>histeq Spatial filtering >>filter2

Point Processing (Intensity Transformation) s(x,y) = T{ r(x,y)} Transformed Gray Level Original Gray Level Transformation Function >>imadjdemo >>imadjust

Pre-Lab 1: Intro to Matlab IP Toolbox http://engineering.rowan.edu/~shreek/fall01/dip/ipintro.html

Summary