1992
DOI: 10.1007/bf00142412
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Real-time edge detection and image segmentation

Abstract: The implementation of real-time edge detection and image segmentation using analog VLSI is described. A novel technique of image segmentation using radially propagating signals is discussed. Current-mode processing is used to avoid offset voltages and lead to circuit implementations which are compatible with standard CMOS processes. A system using raylike signal propagation and implemented using 3#-CMOS technology is described together with experimental results.

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Cited by 3 publications
(1 citation statement)
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“…Chong et al [7], use current mirrors to perform a 3 3 DOG/LOG convolution, and Ward et al [8] have used current mirrors to convolve an incident image with a 3 3 Sobel kernel [9]. The kernel size is too small to support filters beyond the very highest image frequencies, and is not well scalable to either general convolution coefficients or easily scalable to larger kernels.…”
Section: A Analog Cmos Image Convolutionsmentioning
confidence: 99%
“…Chong et al [7], use current mirrors to perform a 3 3 DOG/LOG convolution, and Ward et al [8] have used current mirrors to convolve an incident image with a 3 3 Sobel kernel [9]. The kernel size is too small to support filters beyond the very highest image frequencies, and is not well scalable to either general convolution coefficients or easily scalable to larger kernels.…”
Section: A Analog Cmos Image Convolutionsmentioning
confidence: 99%