Hybrid Intelligence for Image Analysis and Understanding

This original book provides all the latest findings on hybrid intelligent techniques in image processing. It presents new and efficient approaches to image segmentation and quality enhancement, noise filtration, objects detection and recognition of handwritten characters, and uses various combinations of well-known contemporary algorithms, such as rough, neutrosophic and fuzzy sets, genetic algorithm, particle swarm optimization, fuzzy and possibilistic kernel c-means clustering, support vector machine, quantum neural network and adive neuro-fuzzy inference system. Covering all aspects of hybrid intelligence, this book enables the reader to grasp the essence and practical application of the different hybrid intelligent techniques currently in use, and offers a unique insight into this field of imaging.