A fast technique for gray level image thresholding and quantization based on the entropy maximization

Presented is a fast technique dedicated to the multilevel image thresholding and quantization based on the Shannonpsilas entropy maximization. The elaborated method uses efficiently the cumulative density function for the rapid determination of the optimal thresholds for segmentation. Some simulatio...

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Bibliographic Details
Main Authors: Benzid, Redha, Arar, Djemai, Bentoumi, Miloud
Format: Conference Proceeding
Language:English
Subjects:
Cumulative Density Function
Entropy
Entropy Maximization
Histograms
Microorganisms
Multilevel Image Thresholding
Paints
Pixel
Probability density function
Quantization
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Description
Summary:Presented is a fast technique dedicated to the multilevel image thresholding and quantization based on the Shannonpsilas entropy maximization. The elaborated method uses efficiently the cumulative density function for the rapid determination of the optimal thresholds for segmentation. Some simulation results are reported for the aim of illustration and demonstration of its effectiveness.
DOI:10.1109/SSD.2008.4632831