Nature Inspired Optimization Techniques for Image Processing Applications
About the book
Discover the fascinating intersection of nature and technology with "Nature Inspired Optimization Techniques for Image Processing Applications," authored by a team of experts and published by Springer Nature Switzerland AG in 2019. This insightful book, spanning 297 pages, delves into innovative optimization techniques inspired by nature, specifically tailored for imaging applications.
As computational vision continues to evolve, the demand for efficient optimization methods has surged due to the ever-increasing volume of data. This book serves as a comprehensive platform for researchers and practitioners alike, offering valuable insights into how these nature-inspired strategies can enhance image processing tasks. Whether you're a student, researcher, or professional in the field, this resource will equip you with the knowledge needed to harness the power of optimization in your imaging projects.
Don't miss out on this essential addition to your library—get your copy today!
| Author | Jude Hemanth |
|---|---|
| Publisher | Springer Nature Switzerland AG |
| Published | 2019 m. |
| Language | English |
| Pages | 297 psl. |
| Format | Paperback |
| Edition | Softcover Reprint of the Original 1st 2019 ed. |
| ISBN | 9783030071264 |