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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lisha Hou Junping Du |
| Copyright Year | 2012 |
| Description | Author affiliation: Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China (Lisha Hou; Junping Du) |
| Abstract | The region inertial product energy concept combined with canny edge detection is presented here. It takes the place of the gradient amplitude by calculating the inertial product energy of n∗n neighborhood region of central point. Based on inertial product energy and gradient direction, the non-maxima suppression can weaken the noise and tiny information of image effectively and better strike a balance between performance of noise suppression and accuracy of edge positioning in canny edge detection algorithm. The experiment on spatial images shows that this method is given with satisfactory results. |
| Starting Page | 458 |
| Ending Page | 462 |
| File Size | 1569593 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467322010 |
| e-ISBN | 9781467322041 |
| DOI | 10.1109/ICNIDC.2012.6418795 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Accuracy Image edge detection Noise Canny Detectors Filtering algorithms Inertial product energy Feature extraction Edge detection |
| Content Type | Text |
| Resource Type | Article |
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