Advancements in Hardware and Software for Applied Digital Image Processing
Document information
| Author | D.G. Bailey |
| School | University of Canterbury |
| Major | Electrical and Electronic Engineering |
| Year of publication | 198 |
| Place | Christchurch |
| Document type | thesis |
| Language | English |
| Number of pages | 289 |
| Format | |
| Size | 17.15 MB |
- Digital Image Processing
- Image Capture Systems
- Nonlinear Filters
Summary
I. Introduction
The document titled Advancements in Hardware and Software for Applied Digital Image Processing presents a comprehensive overview of the evolving landscape of digital image processing technologies. It emphasizes the significance of integrating advanced hardware and software solutions to address complex scientific and industrial challenges. The introduction sets the stage for understanding the critical role of digital image processing in various applications, including image coding, computer-assisted vision, and computerized vision. The author, D.G. Bailey, articulates the necessity for innovative approaches to enhance image processing capabilities, particularly in the context of real-time applications. The thesis outlines the objectives and methodologies employed in the research, providing a clear framework for the subsequent sections.
1.1 Background
The background section delves into the historical context of digital image processing. It highlights the evolution of image processing techniques and the increasing demand for sophisticated systems capable of handling large volumes of data. The author discusses the transition from traditional methods to modern approaches that leverage interactive image processing systems. This shift is crucial for developing algorithms that can efficiently solve image processing problems. The section underscores the importance of understanding the foundational principles of image processing to appreciate the advancements presented in the thesis.
II. Image Processing Systems
The second section focuses on the specifications and capabilities of the VAX image processing system. This system is designed to facilitate interactive command-based processing, allowing users to manipulate images effectively. The author details the system's architecture, emphasizing its flexibility and ease of extension. Key features include symbolic reference for variables and variable image sizes, which enhance the user experience. The section also compares the VAX system with other existing systems, such as HIPS and UCIPS, highlighting its unique advantages. The analysis reveals that the VAX system's design is tailored to meet the demands of contemporary image processing tasks, making it a valuable tool for researchers and practitioners alike.
2.1 Specifications and Capabilities
In this subsection, the author elaborates on the technical specifications of the VAX system. The system's ability to handle various image sizes and formats is crucial for diverse applications. The author notes that the system's command-based interface allows for seamless integration of new functionalities, which is essential for ongoing research and development. The flexibility of the VAX system is further illustrated through examples of its application in real-world scenarios, demonstrating its effectiveness in solving complex image processing challenges.
III. Algorithm Development
The document discusses the development of algorithms tailored for specific applications in digital image processing. The author presents three primary applications: calibration of photoelastic materials, measurement of growth rings in trees, and detection of surface blemishes in kiwifruit. Each application is analyzed in detail, showcasing the algorithms' effectiveness in addressing unique challenges. The author emphasizes the iterative nature of algorithm development, where continuous refinement leads to improved performance. This section highlights the practical implications of the research, demonstrating how advanced algorithms can significantly enhance the accuracy and efficiency of image processing tasks.
3.1 Application Examples
The application examples provide concrete evidence of the algorithms' capabilities. For instance, the calibration of photoelastic materials is crucial for understanding foot-ground pressure patterns, which has implications in biomechanics and ergonomics. Similarly, the measurement of growth rings aids in ecological studies, while the detection of kiwifruit blemishes is vital for quality control in the agricultural sector. The author effectively illustrates how these algorithms contribute to real-world applications, reinforcing the value of the research in advancing digital image processing technologies.
Document reference
- HARDWARE AND SOFTWARE DEVELOPMENTS FOR APPLIED DIGITAL IMAGE PROCESSING (D.G. Bailey)
- VAX IMAGE PROCESSING SYSTEM (D.G. Bailey)
- RANK FILTERS (D.G. Bailey)
- FOURIER PHASE PROBLEM (D.G. Bailey)
- KIWIFRUIT SURFACE BLEMISH DETECTION (D.G. Bailey)