Proceedings Paper
Adaptive edge detection in a global optimal observation scale| Format | Member Price | Non-Member Price |
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Paper Abstract
We propose an adaptive edge detection algorithm for LOG operator based on a biological perspective solving the problem
of parameter setting. The algorithm can survive in different kinds of images with different imaging qualities. We introduce
the concept of Global Optimal Observation Scale that the best scale parameter for LOG lie at the global observation
location in scale space. Experimental results demonstrate strong capacity of the algorithm.
Paper Details
Date Published: 5 December 2011
PDF: 4 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 800503 (5 December 2011); doi: 10.1117/12.898746
Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 4 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 800503 (5 December 2011); doi: 10.1117/12.898746
Show Author Affiliations
Zhenzhu Zheng, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
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