Automated image classification and
segmentation techniques are becoming increasingly important
in the current medical field for pathology identification.
Accurate techniques are highly essential to avoid any fatal
results. Artificial intelligence (AI) techniques are highly
accurate and hence preferred for automated image
classification and segmentation. Various modifications of
the conventional Artificial Intelligence Techniques are also
available for performance enhancement in terms of accuracy.
...

This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired methodologies to help do so.

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially.