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Information Processing using Multilevel Masking to Image Segmentation

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Debasree Mitra, Kumar Gaurav Verma
10.5120/ijca2016909567

Debasree Mitra and Kumar Gaurav Verma. Information Processing using Multilevel Masking to Image Segmentation. International Journal of Computer Applications 141(3):1-6, May 2016. BibTeX

@article{10.5120/ijca2016909567,
	author = {Debasree Mitra and Kumar Gaurav Verma},
	title = {Information Processing using Multilevel Masking to Image Segmentation},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {141},
	number = {3},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {1-6},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume141/number3/24761-2016909567},
	doi = {10.5120/ijca2016909567},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. In discontinuity based approach images are partitioned on the basis of abrupt changes in intensity, such as edge detection, line detection and point detection. In this paper we are a multilevel masking based image segmentation technique which will analyze the image information more accurately.

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Keywords

Image Segmentation, Masking, Edge detection, Region Growing, Region Splitting, Thresholding, Entropy, Peak to Signal Noise Ratio