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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ye, Huashan Shang, Guocan Wang, Lina Zheng, Min |
| Copyright Year | 2015 |
| Description | Author affiliation: School of Biomedical Engineering, Hubei University of Science and Technology, Xianning road 88, Xianning city, Hubei Province, 437100 (Ye, Huashan; Shang, Guocan; Wang, Lina; Zheng, Min) |
| Abstract | Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image. |
| Starting Page | 52 |
| Ending Page | 56 |
| File Size | 482408 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781509000227 |
| DOI | 10.1109/BMEI.2015.7401472 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Shape Image edge detection Quick detection Transforms Mathematical Hough transform Mathematical model Probes Segment |
| Content Type | Text |
| Resource Type | Article |
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