| dc.contributor.author | Nor Mas Aina, Md Bohari | |
| dc.contributor.author | Amir Syarifuddin, Kasim | |
| dc.date.accessioned | 2010-08-16T06:00:42Z | |
| dc.date.available | 2010-08-16T06:00:42Z | |
| dc.date.issued | 2009-06-20 | |
| dc.identifier.citation | p.1-2 | en_US |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/8698 | |
| dc.description | MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang. | en_US |
| dc.description.abstract | This paper presents the theoretical concept and design of image feature extraction by using selected hybrid image feature extraction techniques; the combination of Scale-Invariant Feature Transform (SIFT), Elastic Bucket Tries and Fuzzy-Rule Based techniques. We show the advantages and disadvantages of the combination of those techniques, tested for indoor room images. The proposed indoor images style was Malay, Chinese and Indian. The result is hoped to contribute a significant idea to the development of technology in classifying the indoor room images based on other styles such as Bali, English etc. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Pahang (UMP) | en_US |
| dc.relation.ispartofseries | Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 | en_US |
| dc.subject | Content based image retrieval | en_US |
| dc.subject | Feature extraction | en_US |
| dc.subject | Scale-Invariant Feature Transform (SIFT) | en_US |
| dc.subject | Elastic Bucket Tries | en_US |
| dc.subject | Fuzzy-Rule Based | en_US |
| dc.subject | Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) | en_US |
| dc.title | Image feature extraction for image database content description: Indoor room images | en_US |
| dc.type | Working Paper | en_US |
