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Information Processing using Multilevel Masking to Image Segmentation

by Debasree Mitra, Kumar Gaurav Verma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 3
Year of Publication: 2016
Authors: Debasree Mitra, Kumar Gaurav Verma
10.5120/ijca2016909567

Debasree Mitra, Kumar Gaurav Verma . Information Processing using Multilevel Masking to Image Segmentation. International Journal of Computer Applications. 141, 3 ( May 2016), 1-6. DOI=10.5120/ijca2016909567

@article{ 10.5120/ijca2016909567,
author = { Debasree Mitra, 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 = {9},
url = { https://ijcaonline.org/archives/volume141/number3/24761-2016909567/ },
doi = { 10.5120/ijca2016909567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:27.690518+05:30
%A Debasree Mitra
%A Kumar Gaurav Verma
%T Information Processing using Multilevel Masking to Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 3
%P 1-6
%D 2016
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

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

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