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Table of Contents:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objective of the Study
1.4 Significance of the Study
1.5 Research Questions
1.6 Hypotheses
1.7 Limitation of the Study
1.8 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Mathematical Image Processing
2.2 Computer Vision in Autonomous Systems
2.3 Robotics in Applied Mathematics
2.4 Previous Studies and Research in the Field
2.5 Gaps in the Literature

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Techniques
3.5 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Analysis of Results
4.2 Comparison with Existing Literature
4.3 Interpretation of Findings
4.4 Implications for Practice
4.5 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Areas for Future Research

Brief Overview:

The thesis on Mathematical image processing and computer vision in autonomous systems in robotics in applied mathematics aims to explore the integration of mathematical principles and computer vision techniques in autonomous systems used in robotics. The study will focus on how mathematical image processing can enhance the efficiency and accuracy of computer vision algorithms in autonomous systems, leading to advancements in the field of robotics.

The research will involve a comprehensive literature review on the current state of mathematical image processing, computer vision, and robotics in applied mathematics. The methodology will include data collection and analysis techniques to evaluate the impact of integrating mathematical image processing in autonomous systems. The findings will be discussed in detail, highlighting the implications for practice and recommendations for future research.

Overall, the thesis will contribute to the understanding of how mathematical image processing and computer vision can be utilized in autonomous systems in robotics, leading to advancements in the field and opening up new avenues for research and innovation.

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