Visible Human Dataset color image histograms: 3D web juggler

In front of the relevant number of successful researches involving the Visible Human Dataset (VHD) data, today, we still have to deal with the best ways for a completely automatic detection of the anatomical structures present in the VHD thousands of images. In contouring the anatomical structures (on a single VHD slice, or on a chosen slice set) we believe that there is no way to obtain good results if the color characteristics of the images are not known in deep, with quantified details. A colorimetric characterization of the all about nine thousand VHD cryosectional cross-section color images of the Female and Male Datasets is described here. An on-line three-dimensional immersive environment to navigate through our colorimetric characterization is also introduced. Real-time analysis of color component characteristics of a user defined set of VHD images is now possible. This is a resource potentially useful to many developers working on the VHD raw data, and it could be used in medical education too.

[1]  Jing Li Wang,et al.  Color image segmentation: advances and prospects , 2001, Pattern Recognit..

[2]  H M Schoolman,et al.  The United States National Library of Medicine. , 1989, Seminars in dermatology.

[3]  Irina Ilovici Detecting color edges in the visible human dataset , 1999, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365).

[4]  C Imelińska,et al.  Semi-automated color segmentation of anatomical tissue. , 2000, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[5]  Michael J. Ackerman,et al.  Technical Milestone: The visible Human Male: A Technical Report , 1996, J. Am. Medical Informatics Assoc..

[6]  J. Márquez,et al.  Radiometric homogenization of the color cryosection images from the VHP lungs for 3D segmentation of blood vessels. , 2000, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[7]  M J Ackerman,et al.  The Visible Human Project , 1998, Proc. IEEE.

[8]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[9]  Francesco Menegoni,et al.  A Colorimetric Characterization of the Raw Digital Data of the Visible Human Dataset Images , 2003, AMIA.