Digital Image Processing Solutions

Topics: Image processing, Digital image, Image histogram Pages: 300 (54799 words) Published: November 3, 2012
Digital Image Processing
Second Edition

Instructorzs Manual

Rafael C. Gonzalez
Richard E. Woods

Prentice Hall
Upper Saddle River, NJ 07458


Revision history
10 9 8 7 6 5 4 3 2 1

Copyright °1992-2002 by Rafael C. Gonzalez and Richard E. Woods

This manual contains detailed solutions to all problems in Digital Image Processing, 2nd Edition. We also include a suggested set of guidelines for using the book, and discuss the use of computer projects designed to promote a deeper understanding of the subject matter. The notation used throughout this manual corresponds to the notation used in the text.

The decision of what material to cover in a course rests with the instructor, and it depends on the purpose of the course and the background of the students. We have found that the course outlines suggested here can be covered comfortably in the time frames indicated when the course is being taught in an electrical engineering or computer science curriculum. In each case, no prior exposure to image processing is assumed. We give suggested guidelines for one-semester courses at the senior and ®rst-year graduate levels. It is possible to cover most of the book in a two-semester graduate sequence. The book was completely revised in this edition, with the purpose not only of updating the material, but just as important, making the book a better teaching aid. To this end, the instructor will ®nd the new organization to be much more -exible and better illustrated. Although the book is self contained, we recommend use of the companion web site, where the student will ®nd detailed solutions to the problems marked with a star in the text, review material, suggested projects, and images from the book. One of the principal reasons for creating the web site was to free the instructor from having to prepare materials and handouts beyond what is required to teach from the book. Computer projects such as those described in the web site are an important part of a course on image processing. These projects give the student hands-on experience with algorithm implementation and reinforce the material covered in the classroom. The projects suggested at the web site can be implemented on almost any reasonablyequipped multi-user or personal computer having a hard copy output device.



The purpose of this chapter is to present suggested guidelines for teaching material from this book at the senior and ®rst-year graduate level. We also discuss use of the book web site. Although the book is totally self-contained, the web site offers, among other things, complementary review material and computer projects that can be assigned in conjunction with classroom work. Detailed solutions to all problems in the book also are included in the remaining chapters of this manual.

Teaching Features of the Book
Undergraduate programs that offer digital image processing typically limit coverage to one semester. Graduate programs vary, and can include one or two semesters of the material. In the following discussion we give general guidelines for a one-semester senior course, a one-semester graduate course, and a full-year course of study covering two semesters. We assume a 15-week program per semester with three lectures per week. In order to provide -exibility for exams and review sessions, the guidelines discussed in the following sections are based on forty, 50-minute lectures per semester. The background assumed on the part of the student is senior-level preparation in mathematical analysis, matrix theory, probability, and computer programming. The suggested teaching guidelines are presented in terms of general objectives, and not as time schedules. There is so much variety in the way image processing material is taught that it makes little sense to attempt a breakdown of the material by class period. In particular, the organization of the...
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