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1 February 2005 Gradient-threshold edge detection based on the human visual system
Fuzheng Yang, Yilin Chang, Shuai Wan
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Optical Engineering, Vol. 44, Issue 2, 020505 (February 2005). https://doi.org/10.1117/1.1850747
Abstract
We present an improved method that is suitable for gradient-threshold edge detectors. The method takes into account the basic characteristics of the human visual system and masks the gradient image with the luminance and the activity of local image before edge labeling. An implementation of this method on a Canny detector is described as an example. The results show that the edge images obtained by our algorithm are more consistent with the perceptive edge images.
©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Fuzheng Yang, Yilin Chang, and Shuai Wan "Gradient-threshold edge detection based on the human visual system," Optical Engineering 44(2), 020505 (1 February 2005). https://doi.org/10.1117/1.1850747
Published: 1 February 2005
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Cited by 21 scholarly publications and 1 patent.
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KEYWORDS
Sensors
Edge detection
Visual system
Detection and tracking algorithms
Image analysis
Contrast sensitivity
Image sensors
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