Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39781
Title: Algorithms for biomedical image reconstruction and rendering
Authors: Foo, Dillion Jia Yew.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2010
Abstract: The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. This report details the project taken by the author which shows how the Insight Development ToolKit (ITK) can be used to develop biomedical images from radiography for image analysis. For the project, the author illustrates how the various classes provided by ITK can be used to segment a particular image and how these classes, when combined with each other can produce an improved image which can be used to yield a better image analysis. The results of this project are the segmented images and their statistical distribution within the original image.
URI: http://hdl.handle.net/10356/39781
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
SCE09-150.pdf
  Restricted Access
828.42 kBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.