Locally adaptive block thresholding method with continuity constraint

Authors:
S. Hemachander;A. Verma;S. Arora;Prasanta K. Panigrahi
Affiliations:
University of Buffalo, NY 14260, USA;Physical Research Laboratory, Navrangpura, Ahmedabad 380 009, India;Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar 382 009, India;Physical Research Laboratory, Navrangpura, Ahmedabad 380 009, India
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

We present an algorithm that enables one to perform locally adaptive block thresholding, while maintaining image continuity. Images are divided into sub-images based on some standard image attributes and thresholding technique is employed over the sub-images. The present algorithm makes use of the thresholds of neighboring sub-images to calculate a range of values. The image continuity is taken care by choosing the threshold of the sub-image under consideration to lie within the above range. After examining the average range values for various sub-image sizes of a variety of images, it was found that the range of acceptable threshold values is substantially high, justifying our assumption of exploiting the freedom of range for bringing out local details.