Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2006-03-09
Computer Science
Computer Vision and Pattern Recognition
12 Pages, 4 figures, 1 Table
Scientific paper
We present an algorithm that enables one to perform locally adaptive block thresholding, while maintaining image continuity. Images are divided into sub-images based 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.
Arora Siddharth
Hemachander S.
Panigrahi Prasanta K.
Verma Amit
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