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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yan Xiao-qiang Wang Rang-ding Bao Ji-long Zheng De-chun |
| Copyright Year | 2010 |
| Abstract | For the morphology edge detector has a higher algorithm complexity and the contradiction between noise restraining and algorithm accuracy, a new edge detection algorithm based on morphology is proposed in this paper. First, the gray value in the structural elements will be sorted. Second, using the maximum value minus the minimum and the second largest value minus the second smallest value, and so on, getting the new values, selecting the appropriate value instead of the original structural elements point; Last, using mean and standard deviation to realize non-edge suppression and edge enhancement. The experimental results showed that the operation could effectively reduce the complexity of the algorithm, and the operation we presented were more effective than other classical and ordinary morphological operations of edge detection on noise restraining and retaining the image details |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 268281 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424478712 |
| e-ISBN | 9781424478743 |
| DOI | 10.1109/ICMULT.2010.5631465 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Image edge detection Noise Morphology Detectors Gray-scale Complexity theory |
| Content Type | Text |
| Resource Type | Article |
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