1 October 1993 Adaptive thresholding algorithm that maximizes edge features within an image
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J. of Electronic Imaging, 2(4), (1993). doi:10.1117/12.159649
Abstract
We present a new adaptive thresholding algorithm that uses the theories of human visual perception to select a global threshold value. The algorithm is based on the total contour information contained within an image and selects a threshold value that maximizes the edge features within the binarized image.
Arthur Robert Weeks, Harley R. Myler, Michelle Van Dyke-Lewis, "Adaptive thresholding algorithm that maximizes edge features within an image," Journal of Electronic Imaging 2(4), (1 October 1993). http://dx.doi.org/10.1117/12.159649
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KEYWORDS
Binary data

Detection and tracking algorithms

Image segmentation

Visualization

Evolutionary algorithms

Information visualization

Image compression

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