A Hybrid Approach for Efficient Content Based Image Retrrival System (Record no. 64774)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01529nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | R/IMS-19 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Najim uddin |
| -- | 14MSIT15 |
| -- | Supervisor - Dr. Fareed Ahmed Jokhio |
| 245 ## - TITLE STATEMENT | |
| Title | A Hybrid Approach for Efficient Content Based Image Retrrival System |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 14-MS(IT)-15 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Nawab shah |
| Name of publisher | QUEST |
| Year of publication | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 31p |
| 500 ## - GENERAL NOTE | |
| General note | ABSTRACT<br/><br/>In this thesis performance of image matching techniques is analyzed. Here two existing techniques i.e. scale-invariant feature transform (SIFT) and Speeded up robust features (SURF) are used to develop a HAECBIR technique. Performance of these three technique is analyzed by using Oxford building dataset. The data set consist a set of different image classes. These techniques are used to extract visual features of images. Frequency vector is recorded a Histogram for spatial tile of the image. The resulting vector are used for feature matching with other images the performance with respect to accuracy and time is evaluated for these three techniques. The result Indicate that matching accuracy of the Hybrid technique is better than SIFT and SURF. The hybrid approach is also faster than SIFT in terms of execution time to retrieve similar images from dataset.<br/>Keywords: Feature Extraction, A hybrid Approach Efficient Content based Image retrieval system (HAECBR), Speeded up robust features (SURF), Scale Invariant feature transform (SIFT)<br/> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Department 0f Information technology |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://tinyurl.com/mrtj65ef |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis and Dissertation |
| Withdrawn status | Lost status | Home library | Current library | Date acquired | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Research Section | Research Section | 01/07/2019 | MP/43-496 | Thesis and Dissertation | ||
| Research Section | Research Section | 20/12/2023 | MP/53-663 | Thesis and Dissertation |