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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Espinosa, C. Perkowski, M.A. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Electr. Eng., Portland State Univ., OR, USA (Espinosa, C.; Perkowski, M.A.) |
| Abstract | A hierarchical Hough transform (HT) based on pyramidal architecture is described, being a main component of the low-to-medium spatial vision subsystem for a mobile robot. The sequence of processing in the system originally conceived to be essential to the extraction of line features in indoor scenes consisted of: histogram equalization, smoothing with the use of a medial filter, edge detection using the Sobel edge detectors, binarization to extract the edges detected, labeling, rebinarization and thinning to refine the edges to thin lines, and line extraction using a hierarchical approach to the HT method. The task was to establish the importance of each step for the success of the hierarchical HT. It was implemented on a 386-based personal computer with 640 K memory and proved to give results of high quality as compared with the standard HT implementation.< |
| Starting Page | 743 |
| Ending Page | 750 |
| File Size | 1080617 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780306058 |
| DOI | 10.1109/PCCC.1992.200515 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-04-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile robots Feature extraction Layout Histograms Smoothing methods Filters Image edge detection Detectors Labeling Microcomputers |
| Content Type | Text |
| Resource Type | Article |
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