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http://hdl.handle.net/10012/905
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| Title: | Average Cell Orientation, Eccentricity and Size Estimated from Tissue Images |
| Authors: | Iles, Peter |
| Keywords: | Systems Design
composite cell
average cell
shape detection
geometry
texture
texture element
orientation
aspect ratio
cell area
spatial-frequency
embryology
morphogenesis
tissue mechanics
microscopy |
| Approved Date: | 2005 |
| Date Submitted: | 2005 |
| Abstract: | Five image processing algorithms are proposed to measure the average orientation, eccentricity and size of cells in images of biological tissue. These properties, which can be embodied by an elliptical 'composite cell', are crucial for biomechanical tissue models. To automatically determine these properties is challenging due to the diverse nature of the image data, with tremendous and unpredictable variability in illumination, cell pigmentation, cell shape and cell boundary visibility. One proposed algorithm estimates the composite cell properties directly from the input tissue image, while four others estimate the properties from frequency domain data. The accuracy and stability of the algorithms are quantitatively compared through application to a wide variety of real images. Based on these results, the best algorithm is selected. |
| Department: | Systems Design Engineering |
| Degree: | Master of Applied Science |
| URI: | http://hdl.handle.net/10012/905 |
| Appears in Collections: | Faculty of Engineering Theses and Dissertations
Electronic Theses and Dissertations (UW)
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