Jasjit S Suri

Majid Mirmehdi

Xianghua Xie

Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture analysis must be sought out through a variety of research papers. This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts. The methods covered will not only be relevant to those working in computer vision, but will also be of benefit to the computer graphics, psychophysics, and pattern recognition communities, academic or industrial./a

Handbook Of Texture Analysis

Aymen El-Baz

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurological disorder that impacts focus, self-control, and other skills important in daily life. Caused by differences in brain anatomy and wiring, it is known to be one of the most common conditions in childhood. As ADHD plays a serious role in how children function in school and in their everyday life, having a deep understanding of this neurological condition is critical. This book explores recent advances in neuroimaging techniques, methods, applications and machine learning algorithms. ﻿Key Features Contributions from world-class researchers in neurological disorders imaging Introductory section on the fundamentals of various imaging techniques A comprehensive overview of imaging related dyslexia, epilepsy, and Parkinson's Artificial Intelligence principles incorporated throughout Emphasis on deep learning paradigms

Jasjit S Suri

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