CFP last date
20 June 2024
Call for Paper
July Edition
IJCA solicits high quality original research papers for the upcoming July edition of the journal. The last date of research paper submission is 20 June 2024

Submit your paper
Know more
Reseach Article

Thresholding Techniques applied for Segmentation of RGB and multispectral images

Published on May 2012 by Hari Kumar Singh, Shiv Kumar Tomar, Prashant Kumar Maurya
National Conference on Advancement in Electronics & Telecommunication Engineering
Foundation of Computer Science USA
NCAETE - Number 1
May 2012
Authors: Hari Kumar Singh, Shiv Kumar Tomar, Prashant Kumar Maurya
05312c30-5df3-47ec-8350-a045970301d2

Hari Kumar Singh, Shiv Kumar Tomar, Prashant Kumar Maurya . Thresholding Techniques applied for Segmentation of RGB and multispectral images. National Conference on Advancement in Electronics & Telecommunication Engineering. NCAETE, 1 (May 2012), 24-27.

@article{
author = { Hari Kumar Singh, Shiv Kumar Tomar, Prashant Kumar Maurya },
title = { Thresholding Techniques applied for Segmentation of RGB and multispectral images },
journal = { National Conference on Advancement in Electronics & Telecommunication Engineering },
issue_date = { May 2012 },
volume = { NCAETE },
number = { 1 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 24-27 },
numpages = 4,
url = { /proceedings/ncaete/number1/6591-1081/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement in Electronics & Telecommunication Engineering
%A Hari Kumar Singh
%A Shiv Kumar Tomar
%A Prashant Kumar Maurya
%T Thresholding Techniques applied for Segmentation of RGB and multispectral images
%J National Conference on Advancement in Electronics & Telecommunication Engineering
%@ 0975-8887
%V NCAETE
%N 1
%P 24-27
%D 2012
%I International Journal of Computer Applications
Abstract

Image segmentation is a process of partitioning an image into a set of non-overlapping regions. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. In this paper we have segmented a RGB image and a multispectral image. The image has been segmented through three threshold techniques (i. e. Iterative threshold techniques, Otsu's threshold technique, Local Threshold Technique). Thresholding techniques are computationally simple and never fails to define disjoints regions with closed boundaries. Threshold technique is one of the important techniques in image segmentation. Thresholding techniques converts a colored image or gray scale image into binary or bimodal image (foreground and background image). The advantage of obtaining binary image through Thresholding technique is that it reduces the complexity of the data and simplifies the process of recognition and classification.

References
  1. Gonzalez and Woods, "Digital image processing", 2nd Edition,prentice hall, 2002. Sezgin and B. Sankur (2004). "Survey over image thresholding techniques and quantitative performance evaluation". Journal of Electronic Imaging 13 (1): 146–165.
  2. Nobuyuki Otsu (1979). "A threshold selection method from gray-level histograms". IEEE Trans. Sys. , Man. , Cyber. 9 (1): 62–66.
  3. Ping-Sung Liao and Tse-Sheng Chen and Pau-Choo Chung (2001). "A Fast Algorithm for Multilevel Thresholding". J. Inf. Sci. Eng. 17 (5): 713–727.
  4. Salem Saleh Al-amri, N. V. Kalyankar and Khamitkar S. D, " Image Segmentation by Using Threshold Techniques. "
  5. Xue Dong Yang,Xiaoxing Chen and Mingyuan Chen, " Scale Space Local Thresholding and Segmentation. "
  6. E. Davies Machine Vision: Theory, Algorithms and Practicalities, Academic Press, 1990, pp 91 - 96.
  7. A. Jain Fundamentals of Digital Image Processing, Prentice-Hall, 1986,p-40
Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Thresholding Iteration Multispectral Image And Binary Image