5 December 2011 Adaptive edge detection in a global optimal observation scale
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Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 800503 (2011) https://doi.org/10.1117/12.898746
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenzhu Zheng, Zhenzhu Zheng, Tianxu Zhang, Tianxu Zhang, } "Adaptive edge detection in a global optimal observation scale", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 800503 (5 December 2011); doi: 10.1117/12.898746; https://doi.org/10.1117/12.898746
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