12 October 1988 Automatic Threshold Selection Based On Information Gain
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Proceedings Volume 0956, Piece Recognition and Image Processing; (1988) https://doi.org/10.1117/12.947682
Event: SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, 1988, Dearborn, MI, United States
Abstract
An approach to automatic threshold selection based on information gain, is proposed. The probability distribution of gray levels can be utilized to compute the information content of the image using entropic measures. An objective function representing the information gain provided by the threshold gray level with respect to the other gray levels is defined. The gray level value that maximizes the discriminant function is selected as the threshold value for the input gray level image to provide an output binary image.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Subramanian, R. Subramanian, Rajiv Mehrotra, Rajiv Mehrotra, "Automatic Threshold Selection Based On Information Gain", Proc. SPIE 0956, Piece Recognition and Image Processing, (12 October 1988); doi: 10.1117/12.947682; https://doi.org/10.1117/12.947682
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