| Author: | Ho, Kam-wai Raymond |
| Title: | Image segmentation by scalable spatial information |
| Degree: | M.Sc. |
| Year: | 2000 |
| Subject: | Image processing Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Department of Electronic and Information Engineering |
| Pages: | 129 leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | A maximum a posteriori spatial probability (MASP) segmentation algorithm that performs pixel-by-pixel segmentation by utilizing spatial information which is the combined properties of the segmented pixel and its neighbour pixels. These properties are derived from the geographically locations and the number of neighbourhood pixels being utilized and they can influence the segmentation performance. In this project, simulations of segmenting synthetic images are processed to illustrate the segmentation results by using different locations of neighbourhood pixels and the accuracy improvement while using more neighbourhood pixels. A wide variety of neighbourhood configurations, make up of from one-neighbour neighbourhood scheme to eight-neighbour neighbourhood scheme, have been implemented to investigate the accuracy and processing speed. In the simulation of different locations of neighbourhood pixels, it shows that segmentation accuracy is independent to the locations of neighbourhood pixels. In the simulation of different numbers of neighbourhood pixels, it shows that when the number of neighbour pixels increase, the segmentation accuracy increases but the processing speed decreases. Compared the segmentation performance in the simulations, a 4-neighbour neighbourhood scheme is taken as optimal neighbourhood configuration. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b15177075.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 4.57 MB | Adobe PDF | View/Open |
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