University of Illinois Urbana-Champaign

3D Modeling of Histological Tissue Using Image Segmentation Techniques

Corso, Nicholas

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https://hdl.handle.net/2142/46982

Description

Title
3D Modeling of Histological Tissue Using Image Segmentation Techniques
Author(s)
Corso, Nicholas
Contributor(s)
Do, Minh N.
Issue Date
2010-05
Keyword(s)
  • histology
  • histological modeling
  • computational acoustics
  • edge detection
  • image segmentation
  • image processing
Abstract
This thesis presents a novel method for the 3D modeling of histological data using a combination of wavelet edge detection, image segmentation, and morphological image processing operations. First, the problem will be introduced and framed in the context of computational acoustics. To better understand the way acoustic waves scatter off of complex boundary shapes, models must be generated. These models then can be used to both visualize and compute the geometry of the structures present. Through the proposed algorithm it is possible to take digitized histological tissue and create a complex 3D numerical model useful for further study. In addition to this, the model can be rendered to give insight into the structure of the objects present in the tissue.
Type of Resource
text
Language
en
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http://hdl.handle.net/2142/46982

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