Color Medical Image Analysis (lecture Notes In Computational Vision And Biomechanics)
by M. Emre Celebi /
2012 / English / PDF
6.4 MB Download
Since the early 20th century, medical imaging has been dominated
by monochrome imaging modalities such as x-ray, computed
tomography, ultrasound, and magnetic resonance imaging. As a
result, color information has been overlooked in medical image
analysis applications. Recently, various medical imaging
modalities that involve color information have been introduced.
These include cervicography, dermoscopy, fundus photography,
gastrointestinal endoscopy, microscopy, and wound photography.
However, in comparison to monochrome images, the analysis of
color images is a relatively unexplored area. The multivariate
nature of color image data presents new challenges for
researchers and practitioners as the numerous methods developed
for monochrome images are often not directly applicable to
multichannel images.
Since the early 20th century, medical imaging has been dominated
by monochrome imaging modalities such as x-ray, computed
tomography, ultrasound, and magnetic resonance imaging. As a
result, color information has been overlooked in medical image
analysis applications. Recently, various medical imaging
modalities that involve color information have been introduced.
These include cervicography, dermoscopy, fundus photography,
gastrointestinal endoscopy, microscopy, and wound photography.
However, in comparison to monochrome images, the analysis of
color images is a relatively unexplored area. The multivariate
nature of color image data presents new challenges for
researchers and practitioners as the numerous methods developed
for monochrome images are often not directly applicable to
multichannel images.
The goal of this volume is to summarize the state-of-the-art in
the utilization of color information in medical image analysis.
The goal of this volume is to summarize the state-of-the-art in
the utilization of color information in medical image analysis.