Comparative Study and Image Analysis of Local Adaptive Thresholding Techniques
نویسنده
چکیده
Thresholding is a simple but effective technique for image segmentation. In this paper, a general locally adaptive thresholding methods using neighborhood processing is presented. Local adaptive techniques are more effective in eliminating both uneven lighting disturbance, noise and ghost objects. In order to demonstrate the effectiveness, locally adaptive thresholding methods namely Niblack, Sauvola, Wolf’s, Darek Bradley, Nick’s thresholding had been implemented with real world images, printed text document and hand written text document images .Threshold based segmentation mehods had been analyzed quantitatively and qualitatively.
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