Bio-Inspired Computing for Image and Video Processing
By D. P. Acharjya and V. Santhi
"Bio-Inspired Computing for Image and Video Processing" was published by Taylor & Francis Group in 2018 - Boca Raton, it has 404 pages and the language of the book is English.
“Bio-Inspired Computing for Image and Video Processing” Metadata:
- Title: ➤ Bio-Inspired Computing for Image and Video Processing
- Authors: D. P. AcharjyaV. Santhi
- Language: English
- Number of Pages: 404
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton
“Bio-Inspired Computing for Image and Video Processing” Subjects and Themes:
- Subjects: ➤ Image processing, digital techniques - Natural computation - Image processing - Mathematical models - Image analysis - COMPUTERS - General
Edition Identifiers:
- The Open Library ID: OL33643574M - OL25211286W
- ISBN-13: 9781498765930
- All ISBNs: 9781498765930
AI-generated Review of “Bio-Inspired Computing for Image and Video Processing”:
"Bio-Inspired Computing for Image and Video Processing" Description:
Open Data:
Cover -- Half Title -- Title -- Copyrights -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Editors -- Contributors -- Part I. Bio-Inspired Computing Models and Algorithms -- Chapter 1. Genetic Algorithm and BFOA-Based Iris and Palmprint Multimodal Biometric Digital Watermarking Models -- Chapter 2. Multilevel Thresholding for Image Segmentation Using Cricket Chirping Algorithm -- Chapter 3. Algorithms for Drawing Graphics Primitives on a Honeycomb Model-Inspired Grid -- Chapter 4. Electrical Impedance Tomography Using Evolutionary Computing: A Review -- Part II. Bio-Inspired Optimization Techniques -- Chapter 5. An Optimized False Positive Free Video Watermarking System in Dual Transform Domain -- Chapter 6. Bone Tissue Segmentation Using Spiral Optimization and Gaussian Thresholding -- Chapter 7. Digital Image Segmentation Using Computational Intelligence Approaches -- Chapter 8. Digital Color ImageWatermarking Using DWT SVD Cuckoo Search Optimization -- Chapter 9. Digital Image Watermarking Scheme in Transform Domain Using the Particle Swarm Optimization Technique -- Part III. Bio-Inspired Computing Applications to Image and Video Processing -- Chapter 10. Evolutionary Algorithms for the Efficient Design of Multiplier-Less Image Filter -- Chapter 11. Fusion of Texture and Shape-Based Statistical Features for MRI Image Retrieval System -- Chapter 12. Singular Value Decomposition-Principal Component Analysis-Based Object Recognition Approach -- Chapter 13. The KD-ORS Tree: An Efficient Indexing Technique for Content-Based Image Retrieval -- Chapter14. An Efficient Image Compression Algorithm Based on the Integration of a Histogram Indexed Dictionary and the Huffman Encoding for Medical Images -- Index
Read “Bio-Inspired Computing for Image and Video Processing”:
Read “Bio-Inspired Computing for Image and Video Processing” by choosing from the options below.
Search for “Bio-Inspired Computing for Image and Video Processing” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Bio-Inspired Computing for Image and Video Processing” in Libraries Near You:
Read or borrow “Bio-Inspired Computing for Image and Video Processing” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Bio-Inspired Computing for Image and Video Processing” at a library near you.
Buy “Bio-Inspired Computing for Image and Video Processing” online:
Shop for “Bio-Inspired Computing for Image and Video Processing” on popular online marketplaces.