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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongming Zhao Bingcheng Li |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA (Dongming Zhao) |
| Abstract | In this paper, a conventional discrete implementation of the diffusion equation is analyzed. It is shown that when the evolution time step is less than 1/4 , the conventional discrete implementation satisfies the scale-space condition. As the evolution time increases, the image becomes smoother and smoother, thus making the evolution increasingly slow and the computing time lengthy. To solve this problem, a new discrete implementation is proposed. It is shown that the proposed implementation satisfies the scale-space condition when discrete time steps are arbitrarily large. The new discrete implementation of the diffusion equation not only preserves the scale-space condition but also effectively reduces the evolution time. The experiments in range image segmentation show that the proposed method has a similar segmentation effect as the conventional methods, but with much less computing time. |
| Starting Page | 383 |
| Ending Page | 385 |
| File Size | 330592 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780332598 |
| DOI | 10.1109/ICIP.1996.559513 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-09-19 |
| Publisher Place | Switzerland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filtering Gaussian processes Convolution Computational complexity Image sampling Laplace equations Image edge detection Finite difference methods Costs Image analysis |
| Content Type | Text |
| Resource Type | Article |
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