1. Stockman MSU/CSE Fall 20091 Computer Vision: Week 1 Intro. What are its goals? What are the applications What are some ways of using images (Later: methods and programming)

2. Stockman MSU/CSE Fall 20092 First day course business Syllabus on web Homework 1 specs on web (due 12 Sep) Course web pages (www.cse.msu.edu/~cse803) Computer accounts: DECS or CSE Textbook by Shapiro and Stockman Read both Chapters 1 and 2 Read outside reading S1 (.pdf online)

3. Stockman MSU/CSE Fall 20093 Manufacturing case 100 % inspection needed Quality demanded by major buyer Assembly line updated for visual inspection well before today’s powerful computers

4. Stockman MSU/CSE Fall 20094 Simple Hole Counting Alg. Customer needs 100% inspection About 100 holes Big problem if any hole missing Implementation in the 70’s Alg also good for counting objects

5. Stockman MSU/CSE Fall 20095 Imaging added to line Camera placed above conveyor line Back lighting added 1D of image from motion of object past the camera

6. Stockman MSU/CSE Fall 20096 Critical “corner patterns” “external corner” has 3(1)s and 1(0) “internal corner” has 3(0)s and 1(1) Holes computed from only these patterns!

7. Stockman MSU/CSE Fall 20097 Hole (Object) Counting Alg.

8. Stockman MSU/CSE Fall 20098 #holes = (#e - #i)/4

9. Stockman MSU/CSE Fall 20099 Variations on Algorithm Easy if entire image is in memory Only need to have 2 rows in memory at any time * used in the 1970’s * can allow special hardware Relate to driving around city blocks. Check out C++ program and results on web.

10. Stockman MSU/CSE Fall 200910 Industrial vision/inspection Literally thousands of applications Usually very specific engineering Usually called “image processing” – not “computer vision” See Oshawa-Stemmer video See John Deer application