ENT366-MACHINE VISION
SEM 1 - SESSION 2018/2019
TUTORIAL 1
CHAPTER 1: INTRODUCTION TO MACHINE VISION SYSTEMS
1. Describe the component of Machine Vision in order to identify the thickness of books
automatically.
2. Describe the fundamental steps of machine vision used to identify the missing
component on PCB board in the industrial environment automatically.
3. List and describe FIVE (5) applications using Image Processing.
4. Describe the advantages using Machine Vision Systems.
5. Motivate shortly why a machine vision should be used for optical quality inspection of
items produced at a factory. Also give drawbacks, pros and cons.
CHAPTER 2: DIGITAL IMAGE FUNDAMENTAL
1. Describe five things to consider before capturing the picture in machine vision
application.
2. Explain the differences between pixels, coordinates and intensity values in image
processing.
3. Figure 1 shows the path taken from pixel o to x in a 9×9 image.
(i) Sketch the path using 8-neighbourhood connections.
(ii) Analyze the coordinates o and x; and also analyze the distance between point o to
point x using Euclidean, city block and chessboard distance measurement.
o
x
Figure 1
4. Determine the distance between object A with coordinate (40, 76) and B with
coordinate (100, 87) using Euclidean, city-block and chessboard measures.
