https://scholars.lib.ntu.edu.tw/handle/123456789/317599
Title: | New corner detection algorithm by tangent and vertical axes and case table | Authors: | SOO-CHANG PEI JIAN-JIUN DING |
Issue Date: | Sep-2005 | Journal Volume: | 1 | Start page/Pages: | 365-368 | Source: | Proceedings - International Conference on Image Processing, ICIP | Abstract: | In this paper, we introduce a new algorithm for corner detection. Instead of calculating the gradients along x and y-axes, which is the common step of many existed algorithms, we use the sum of differences to observe the variations along the adaptive vertical and tangent axes. We classify the variations into 36 types and use the 'case table' to determine whether a pixel is a corner. We do some experiments and show that our algorithm can detect almost all the corners of a complicated natural image (such as Lena image and Fruit image) successfully. In addition to comer detection, it is also possible to use our algorithm to detect the edges, ridges, valleys, isolated dots, saddles, and plain regions of a natural image. © 2005 IEEE. |
URI: | http://scholars.lib.ntu.edu.tw/handle/123456789/317599 https://www.scopus.com/inward/record.uri?eid=2-s2.0-33749590646&doi=10.1109%2fICIP.2005.1529763&partnerID=40&md5=7b7aa013162cc1c7a0e70b69f1375fca |
ISSN: | 15224880 | DOI: | 10.1109/ICIP.2005.1529763 | SDG/Keyword: | Corner detection algorithms; Natural images; Tangent axes; Adaptive control systems; Algorithms; Image analysis; Edge detection |
Appears in Collections: | 電機工程學系 |
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01529763.pdf | 335.71 kB | Adobe PDF | View/Open |
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