Title :
A fast technique for gray level image thresholding and quantization based on the entropy maximization
Author :
Benzid, Redha ; Arar, Djemai ; Bentoumi, Miloud
Author_Institution :
Dept. of Electron., Univ. of M´´Sila, M´´Sila
Abstract :
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.
Keywords :
data compression; image coding; image segmentation; Shannon entropy maximization; entropy maximization; gray level image quantization; gray level image thresholding; Computational complexity; Density functional theory; Entropy; Histograms; Image segmentation; Information theory; Pattern recognition; Pixel; Probability density function; Quantization; Cumulative Density Function; Entropy Maximization; Multilevel Image Thresholding; Quantization;
Conference_Titel :
Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4244-2205-0
Electronic_ISBN :
978-1-4244-2206-7
DOI :
10.1109/SSD.2008.4632831
