TABLE OF CONTENT
Abstrak i
Abstract ii
Dedication iii
Acknowledgement iv
Table of Content v
List of Tables ix
List of Figures x
List of Abbreviations xi
CHAPTER 1: INTRODUCTION 1
1.1 Image Processing
1 1.1.1
History of Image Processing 2
1.1.2 Advantage of Image Filtering
3 1.2
Image Filtering Applications 4
1.3 Problem Statement
6 1.4
Objectives 7
1.5 Scope
7 1.6
Report Structure 7
CHAPTER 2: LITERATURE REVIEW 9
2.1 Image Processing.
9 2.1.1
License Plate Recognition. 9
2.1.2 Image Enhancement.
11 2.1.3
Image Enhancement for Non-uniform Lighting Conditions. 12
2.1.4 Filtering Technique for Improving Facial Identification.
13 2.2
Software 14
2.2.1 MATLAB
15 2.2.2
C++ Programming Using OpenCV 15
2.3 Techniques
16 2.3.1
Morphological Process 16
2.3.2 Normalization
17 2.3.3
Edge Enhancement Techniques 18
2.4 Chapter Summary
19
CHAPTER 3: METHODOLOGY 20
3.1 Project Planning
20 3.2
Understanding on the Previous Verification System 21
3.3 Problem Tree Analysis
22 3.4
Filtering Techniques for Image Sample Testing 23
3.4.1 Color Correlation Technique
24 3.4.2
Accelerated Sum Squared Difference Using Cross Correlation SSDXCORR
25 3.4.3
Point Feature Matching Using SURF Features Technique 26
3.5 Image Capturing Process
28 3.6
Steps of Image Filtering Techniques 32
3.6.1 Color Correlation Technique
32 3.6.2
Accelerated Sum Squared Difference Using Cross Correlation SSDXCORR Technique
34 3.6.3
Point Feature Matching Using SURF Features Technique 35
3.7 Chapter Summary
38
CHAPTER 4: RESULTS AND DISCUSSION 39
4.1 Experimental Setup
39 4.1.1
Preparation of Picture Samples 39
4.2 Conducting the Experiment
40 4.3
Result of Image Testing 40
4.3.1 Technique 1: Color Correlation Technique
42 4.3.1.1
Results on Samples of Different Range of Brightness 42
4.3.1.2 Results on Samples of Different Degrees of Rotation
43 4.3.2
Technique 2: SSDXCORR Cross Correlation based Sum of Squared Difference
44 4.3.2.1
Results on Samples of Different Range of Brightness 44
4.3.2.2 Results on Samples of Different Degrees of Rotation
45 4.3.3
Technique 3: Point Feature Matching SURF Features Function 46
4.3.3.1 Results on Samples of Different Range of Brightness
46 4.3.3.2
Results on Samples of Different Degrees of Rotation 47
4.4 Discussion
48 4.5
Chapter Summary 49
CHAPTER 5: CONCLUSION AND RECOMMENDATIONS 50
