NDLI: Application of Niblack's method on images

Content Provider	IEEE Xplore Digital Library
Author	Farid, S. Ahmed, F.
Copyright Year	2009
Description	Author affiliation: FAST-National University of Compute & Emerging Sciences Peshawar Pakistan (Farid, S.; Ahmed, F.)
Abstract	Image segmentation is a major step in image analysis and processing. Segmentation is performed through several methods. In this work Niblack's method of segmentation is further studied. It is one of the local thresholding techniques for segmentation. The output of Niblack's method is significant and has most acceptable result out of all thresholding techniques in segmenting text documents. In this work the same method is applied on images keeping one of the variables i.e. weight k of Niblack's method constant while changing the other (window size) from images to images. The output image is better segmented but the background is noisy. Improvements in the resultant images are demonstrated by applying the morphological operations of opening and closing. Opening and closing are combination of two fundamental morphological operations dilation and erosion. Dilation thickens objects in a binary image by adding pixels to the boundaries of the objects, while erosion shrinks objects in a binary image.
Starting Page	280
Ending Page	286
File Size	1212784
Page Count	7
File Format	PDF
ISBN	9781424456307
DOI	10.1109/ICET.2009.5353159
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-19
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image recognition Image analysis Filters Satellites Image edge detection Face recognition Pixel Morphological operations Biomedical imaging
Content Type	Text
Resource Type	Article

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