Segmentation via Active Contour Models for Intensity Inhomogeneity

Image segmentation is the most studied problem in computer vision and image processing.This book sheds light on some solutions of intensity in-homogeneity problems based on an optimization Technics of image segmentation which called "active contours".The fundamental idea is to evolve an initial curve under some constraints from a given image to detect object boundaries by minimizing energy. Experimental results demonstrate the high accuracy of segmentation obtained on various synthetic and real gray value images compared with state of the art of Active contours..More detailed can be found in this book.

Autorentext

Abdallah Azizi is a Ph.D in Signals and Communications at Mohammed Khider University, Biskra, Algeria. He received his B.S. degree and M.D. degree in Electronics Engineering-Telecommunications from the same university in 2009 and 2011 respectively. His research interests are in Computer vision and Image processing.