1. Adaptive thresholding algorithm that maximizes edge features within an image
- Author
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Michelle Van Dyke-Lewis, Harley R. Myler, and Arthur Robert Weeks
- Subjects
Balanced histogram thresholding ,business.industry ,Evolutionary algorithm ,Pattern recognition ,Image segmentation ,Thresholding ,Atomic and Molecular Physics, and Optics ,Computer Science Applications ,Image (mathematics) ,Computer vision ,Enhanced Data Rates for GSM Evolution ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Algorithm ,Mathematics ,Data compression ,Image compression - 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 infor- mation contained within an image and selects a threshold value that maximizes the edge features within the binarized image.
- Published
- 1993
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