Digital image processing is a progressive field that implements new techniques and methods continuously. The image processing application communities have developed increasingly reliable and consistent approaches for capturing data to meet a range of information needs. Statistically robust and transparent approaches for assessing accuracy and estimating area of change are critical to ensuring the integrity of digital image data information. Professionals need a reference source that tracks image processing advancements and how their practices are applied in the real world.

The Handbook of Research on Recent Developments in Image Processing and Applications is a collection of innovative research on the latest advancements of bio-inspired computation and nature-motivated algorithms within imaging methods. While highlighting topics including graphic systems, pictorial databases, and 3D imaging, this book is ideally designed for image processing engineers, digital processing specialists, computer vision engineers, data scientists, industry professionals, researchers, academicians, and students seeking innovative avenues of research in the field of image processing.