This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and modern implementations of the most important techniques. It compiles the key elements of digital image processing, starting from the basic concepts and elementary properties of digital images through simple statistics and point operations, fundamental filtering techniques, localization of edges and contours, and basic operations on color images. This reader-friendly text concentrates on practical applications and working implementations, and presents the important formal details and mathematics necessary for a deeper understanding of the algorithms. Implementations are all based on Java and ImageJ. This concise yet comprehensive, reader-friendly text is ideal for undergraduates studying foundation courses as well as ideal for self-study.
Cited By
- Atkinson G and Ernst J (2018). High-sensitivity analysis of polarization by surface reflection, Machine Vision and Applications, 29:7, (1171-1189), Online publication date: 1-Oct-2018.
- Kubota A, Mori C and Gohshi S Subjective Assessment of Video Noise Reduction with Non-recursive Temporal Filter Proceedings of the 2018 International Conference on Sensors, Signal and Image Processing, (35-40)
- Trefzer M, Kuyucu T, Miller J and Tyrrell A Image compression of natural images using artificial gene regulatory networks Proceedings of the 12th annual conference on Genetic and evolutionary computation, (595-602)
Index Terms
- Principles of Digital Image Processing: Fundamental Techniques