Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin
The pulse-coupled neuron, which is significantly different from the conventional artificial neuron, is a result of recent research conducted on the visual cortex of cats and monkeys. Pulse-coupled neural networks (PCNNs) are modeled to capture the essence of recent understanding of image interpretat...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2004
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/10222/1/Siti_Shufinaz.pdf http://studentsrepo.um.edu.my/10222/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831435503557148672 |
|---|---|
| author | Siti Shufinaz, Mohd Zainudin |
| author_facet | Siti Shufinaz, Mohd Zainudin |
| author_sort | Siti Shufinaz, Mohd Zainudin |
| building | UM Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaya |
| content_source | UM Student Repository |
| continent | Asia |
| country | Malaysia |
| description | The pulse-coupled neuron, which is significantly different from the conventional artificial neuron, is a result of recent research conducted on the visual cortex of cats and monkeys. Pulse-coupled neural networks (PCNNs) are modeled to capture the essence of recent understanding of image interpretation processes in
biological neural systems. Study indicates that the PCNN is capable of image smoothing, image segmentation and feature extraction. The PCNN reduces noise in digital images better than traditional smoothing techniques. As an image segmented the PCNN performs well even when the intensity varies significantly within regions, and adjacent regions have overlapping intensity ranges. |
| format | Thesis |
| id | my.um.stud-10222 |
| institution | Universiti Malaya |
| publishDate | 2004 |
| record_format | eprints |
| spelling | my.um.stud-102222021-05-23T19:04:04Z Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin Siti Shufinaz, Mohd Zainudin QA75 Electronic computers. Computer science QA76 Computer software The pulse-coupled neuron, which is significantly different from the conventional artificial neuron, is a result of recent research conducted on the visual cortex of cats and monkeys. Pulse-coupled neural networks (PCNNs) are modeled to capture the essence of recent understanding of image interpretation processes in biological neural systems. Study indicates that the PCNN is capable of image smoothing, image segmentation and feature extraction. The PCNN reduces noise in digital images better than traditional smoothing techniques. As an image segmented the PCNN performs well even when the intensity varies significantly within regions, and adjacent regions have overlapping intensity ranges. 2004 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/10222/1/Siti_Shufinaz.pdf Siti Shufinaz, Mohd Zainudin (2004) Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin. Undergraduates thesis, University of Malaya. http://studentsrepo.um.edu.my/10222/ |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Siti Shufinaz, Mohd Zainudin Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin |
| title | Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin |
| title_full | Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin |
| title_fullStr | Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin |
| title_full_unstemmed | Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin |
| title_short | Magnetic resonance image segmentation using pulse-coupled neural network / Siti Shufinaz Mohd Zainudin |
| title_sort | magnetic resonance image segmentation using pulse-coupled neural network / siti shufinaz mohd zainudin |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://studentsrepo.um.edu.my/10222/1/Siti_Shufinaz.pdf http://studentsrepo.um.edu.my/10222/ |
| url_provider | http://studentsrepo.um.edu.my/ |