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Semi-automated Color Segmentation of Anatomical Tissue by C. Imelińska; M.S. Downes; W. Yuan is a Medicine article available to read on EtoBox.

What is Semi-automated Color Segmentation of Anatomical Tissue about?

We propose a semi-automated region-based color segmentation algorithm to extract anatomical structures, including soft tissues, in the color anatomy slices of the Visible Human data. Our approach is based on repeatedly dividing an image into regions using Voronoi diagrams and classifying the regions based on experimental classification statistics. The user has the option of reclassifying regions in order to improve the final boundary. Our results indicate that the algorithm can find accurate outlines in a small number of iterations and that manual interaction can markedly improve the outline. This approach can be extended to 3D color segmentation.

Who reads Semi-automated Color Segmentation of Anatomical Tissue?

Author

C. Imelińska; M.S. Downes; W. Yuan

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0895-6111)

Published

2000

Language

EN

Field

Medicine (Health Sciences)