Optimum thresholding of images using phase correlation.

Saeid O. Belkasim, A. Ghazal, Otman Basir · 1999

Abstract: The automatic binarization of grey level images or the automatic determination of optimum threshold value that separates objects from their background is still a difficult and challenging problem in many applications in the area of digital image processing. A new algorithm is proposed for the optimum automatic thresholding of digital images. The algorithm is based on determining the best threshold value that maximizes a correlation function between the binary and original grey level images. Experimental results to compare the proposed algorithm to various thresholding techniques are also presented. 1.

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