Rensselaer Polytechnic Institute

ECSE 35-6640 Digital Picture Processing - Spring 2004

Tuesday-Friday 12:00 - 1:20 JEC 5312

Instructor: Professor George Nagy (nagy@ecse.rpi.edu)

Office hours: Tuesday & Thursday 10:00-1:00,
or by appointment, JEC 6020, 276-6078

Prerequisites: programming skills; linear systems and
data structures desirable

Grading: 5 programming assignments 50%

5 non-programming assignments 20%

Term paper 10%

Software trial by fire 20%

Text: L. O'Gorman & R. Kasturi

Document Image Analysis

IEEE Computer Society Press 1995

Topics: Image acquisition and display

Spatial sampling and quantization: optical scanners

Image representation and common formats

Image and text compression methods and software

Elementary picture-processing operations

Binarization, filtering, deskewing

Picture segmentation and component labeling

Line drawing analysis: thinning and vectorization

Color models, formats, and transformations

Digital watermarking (steganography)

Image databases and digital libraries

Selected applications

All of the programming assignments will be based on a file of optically scanned documents, which we will use to demonstrate various picture processing algorithms.

Course objective:

On completion of the course, students should be sufficiently familiar with the (meager) theoretical foundation, notation and vocabulary of digital picture processing to be able to pursue matters of interest in the current technical literature. They will understand some of the engineering aspects of a prototypical application of digital picture processing, document analysis.