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https://ptsldigital.ukm.my/jspui/handle/123456789/394840| Title: | Rule Based Fuzzy (RBF) membership edge detection on hand phantom radiograph images |
| Authors: | Noor Elaiza Abdul Khalid Mazani Manaf Mohd Ezane Aziz Noorhayati Mohamed Noor Norsyuhaiza Zainal |
| Conference Name: | International Symposium on Information Technology |
| Keywords: | Rule Based Fuzzy (RBF) Radiograph images |
| Conference Date: | 26/08/2008 |
| Conference Location: | Kuala Lumpur Convention Centre |
| Abstract: | The paper proposes to prove the application of an adapted Rule Based Fuzzy (RBF) image detection in detecting periosteal and endosteal edges of hand phantom radiograph. The experimental data consists of four sets of hand phantom radiographs. Only the metacarpal 2, 3 and 4 are considered. The Rule Based Fuzzy is slightly modified due to the characteristic of the hand phantom radiograph. Mean and median filters are used as preprocessing tools. The analysis of the edges is done subjectively and statistically. As a whole, the proposed algorithm managed to identify the relevant edges of the periosteal and endosteal. |
| Pages: | 6 |
| Call Number: | T58.5.C634 2008 kat sem |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US |
| Appears in Collections: | Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding |
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