Comparative Study and Image Analysis of Local Adaptive Thresholding Techniques
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : M.Chandrakala
|DOI : 10.14445/22315381/IJETT-V35P285|
M.Chandrakala"Comparative Study and Image Analysis of Local Adaptive Thresholding Techniques", International Journal of Engineering Trends and Technology (IJETT), V35(9),423-429 May 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
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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Image thresholding, Image segmentation, window size, Misclassification Error, False Positive Rate, False Negative Rate.