19261Digital image processing
Chapter 1: Introduction; Chapter 2: Digital image fundamentals; Chapter 3: Image transforms; Chapter 4: Image enhancement; Chapter 5: Image restoration; Chapter 6: Image compression; Chapter 7: Image segmentation; Chapter 8: Representation and description; Chapter 9: Recognition and interpretation.
19262Digital image processing : 3rd ed. (with CD)
Completely self-contained-and heavily illustrated-this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. It continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing-e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition.
19263Digital image processing : 4th ed.
1. Introduction. 2. Digital image fundamentals. 3. Intensity transformations and spatial filtering. 4. Filtering in the frequency domain. 5. Image restoration and reconstruction. 6. Wavelet and other image transforms. 7. Color image processing. 8. Image compression and watermarking. 9. Morphological image processing. 10. Image segmentation I edge detection, thresholding and region detection. 11. Image segmentation II active contours. 12. Feature extraction. 13. Image pattern classification.
19264Digital image processing : a systems approach
Introduction to digital processing; Digital image acquisition systems; Subjective image processing techniques; Quantitative image processing techniques;..
19265Digital image processing of remotely sensed data
Chapter 1: Summary of basic concepts; Chapter 2: Data sources; Chapter 3: Computer processing; Chapter 4: Algorithms; Chapter 5: Application examples; Chapter 6: Research topics; Chapter 7: Practical issues.
19266Digital Image Processing with C++ : implementing reference algorithms with the CImg library
Digital Image Processing with C++: Implementing Reference Algorithms with the CImg Library presents the theory of digital image processing and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language using the free and easy-to-use CImg library.
19267Digital libraries
Including: Libraries, technology, and people; The internet and the Word Wide Web; Libraries and publishers; Innovation and research; Economic and legal issues; Access management and security; User interface and usability; Infomation retrieval and descriptive metadata; Digital libraries libraries and electronic publishing today,....
19268Digital libraries : research and technology advances
This book presents four major parts such as 1.Visalization, 2. Document handling and information retrieval, 3. Networking-based information and resource, 4. Design issues and prototyping.
19269Digital literacy for dummies
This book helps to get a grip on computer basics, the Internet, the Cloud, browsing the web, productivity programs and applications for school and the workplace, computer security and privacy.
19270Digital logic and computer design
Contents: Binary systems; Boolean algebra and logic gates; Simolification of boolean functions; Combinational logic; Combinational logic with MSI and LSI; Sequential logic; Registers, counters and the memory unit; Register transfer logic; Processor logic design; Control logic design; Computer design; Microcomputer system design; Digital integrated circuits.