Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The authorℓ́ℓs core methodological contributio…
Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution…
Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution…
Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution…
? Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contributi…
Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essen…
Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essen…
Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essen…
Hybrid soft computing for image segmentation
This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primaril…
Hybrid soft computing for image segmentation
This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primaril…
Iris and Periocular Biometrics
by Rathgeb, Christian, Busch, Christoph
fromSecurity Ser
This book provides an overview of scientific fundamentals and principles of iris and periocular biometric recognition. It covers: an introduction to iris and periocular recognition; a selective overview of issues and challenges; soft biometric classification; security aspects; p…
The book reviews developments in the following fields: periocular biometrics; robust iris image segmentation; iris image quality metrics; iris biometric indexing; biometric recognition; best periocular region identification; presentation attack resistant robust biometric ocular …
Pattern recognition and machine intelligence: 4th international conference, PReMI 2011, Moscow,…
by Kuznetsov, Sergei O., Pal, Sankar K., Kundu, Malay K., Mandal, Deba P., PReMI, Moskau, International Conference on Pattern Recognition and Machine Intelligence, Moscow), PReMI, Moscow)
fromLecture Notes in Computer Science
Progress in pattern recognition, image analysis, computer vision, and applications: 15th Iberoamerican Congress on Pattern Recognitio…
by Bloch, Isabelle, Cesar, Roberto M., Iberoamerican Congress on Pattern Recognition, São Paulo, CIARP, São Paulo)
fromLecture Notes in Computer Science
Segmentation and landmarking of computed tomographic (CT) images of pediatric patients are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and …
"Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified im…