MET490V
Introduction to Machine Vision Spring
2006
|
||||||
|
|
|
|
|
|
|
|
|
|
|
|||
|
|
|
|
|
|
|
|
Instructor |
Prof. Huang, 115 Knoy Hall Phone: 765-494-7526, Email: haiyinghuang@purdue.edu |
|||||
|
|
|
|||||
|
Office hours |
Monday 9:30-11:20am, Wednesday 11:30-1:30pm, 3:30-5:30pm |
|||||
|
|
|
|||||
|
Textbook |
Understanding and Applying Machine Vision Nello Zuech Marcel Dekker, Inc., ISBN # 0-8247-8929-6 |
|||||
|
|
|
|||||
|
Prerequisites |
CPT 175 or CPT 267 and CIMT 243 or MET 382 |
|||||
|
|
|
|||||
|
Course Descriptions |
Fundamentals of machine vision for advanced manufacturing applications are introduced. Image-processing techniques, component specification and selection, vision system control, and related performance considerations are addressed. |
|||||
|
|
|
|||||
|
Course Information |
MET490V lab will be held at the CIMT lab (Knoy258). PLEASE NOTICE THE LOCATION CHANGE. |
|||||
|
|
|
|||||
|
Grading |
Two exams: 20% Laboratory assignments: 40% Homework: 20% Final Project: 20% |
|||||
|
|
|
|||||
|
Attendance |
Attendance is required. There are no make-ups for missed sessions or exams except in cases of documented emergencies or documented prior arrangement (one week in advance) with the instructor. |
|||||
|
|
|
|||||
|
Course Grade |
90% or above A, 80-89% B, 70-79% C, 60-69% D, Below 59% F |
|||||
|
|
|
|||||
|
Academic Integrity |
All students are expected to be acting honorably. However, dishonesty, such as the use of substitutes for taking exams, the use of illegal cribs, plagiarism, and copying, in connection with any portion of this course will not be tolerated. Any detected academic dishonesty may be subject to administrative action or disciplinary penalty, which will include assignment and/or course grade penalty. (Refer to University Regulations, Part 5, Section III.B.2.a., regarding dishonesty) . |
|||||