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

Submit your paper
Know more
Reseach Article

Study and Analysis of Image Segmentation Techniques for Food Images

by Shital V. Chavan, S. S. Sambare
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 4
Year of Publication: 2016
Authors: Shital V. Chavan, S. S. Sambare
10.5120/ijca2016908331

Shital V. Chavan, S. S. Sambare . Study and Analysis of Image Segmentation Techniques for Food Images. International Journal of Computer Applications. 136, 4 ( February 2016), 20-24. DOI=10.5120/ijca2016908331

@article{ 10.5120/ijca2016908331,
author = { Shital V. Chavan, S. S. Sambare },
title = { Study and Analysis of Image Segmentation Techniques for Food Images },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 4 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number4/24141-2016908331/ },
doi = { 10.5120/ijca2016908331 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:04.671376+05:30
%A Shital V. Chavan
%A S. S. Sambare
%T Study and Analysis of Image Segmentation Techniques for Food Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 4
%P 20-24
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As a person across the world is now becoming more caring about their health and weight. Many systems are available to measure the calorie intake from the food images before and after eating. Accuracy of the calorie measuring system is depending on food image analysis. The proper analysis of an image is based on image segmentation technique and is one of the important steps in image analysis. Multiple image segmentation techniques exist for extracting requires objects from an image. In this paper different image segmentation techniques based on Edge Detection, Morphological Operation, Threshold and Clustering based techniques studied and analyzed for segmenting different food images. Different image segmentation techniques implemented in MATLAB and then analyzed.

References
  1. Y. He, N. Khanna, C.J. Boushey and E.J. Delp, Image Segmentation for Image-Based Dietary Assessment: A Comparative Study. 2013 IEEE.
  2. Rajeshwar Dass, Priyanka, Swapna Devi, “Image Segmentation Techniques”, IJECT Vol. 3, Issue 1, Jan. - March 2012.
  3. Parisa Pouladzadeh, Shervin Shirmohammadi and Rana Al-Maghrabi, Measuring Calorie and Nutrition From Food Image. IEEE Transactions On Instrumentation And Measurement, Vol. 63, No. 8, August 2014.
  4. Nandhini. P and Dr. J. Jaya, Image Segmentation for Food Quality Evaluation Using Computer Vision System. Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 2( Version 5), February 2014.
  5. Hamirul Aini Hambali, Sharifah Lailee Syed Abdullah, Nursuriati Jamil and Hazaruddin Harun, A Rule-based Segmentation Method for Fruit Images under Natural Illumination. International Conference on Computer, Control, Informatics and Its Applications 2014.
  6. Marios Anthimopoulos, Joachim Dehais, Peter Diem and Stavroula Mougiakakou, Segmentation and Recognition of Multi-Food Meal Images for Carbohydrate Counting. 2013 IEEE.
  7. Domingo Mery and Franco Pedreschi, Segmentation of colour food images using a robust algorithm. Journal of Food Engineering. 2004 Elsevier.
  8. Rozy Kumari and Narinder Sharma, A Study on the Different Image Segmentation Technique. International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 1, July 2014.
  9. V. K. Dehariya, S. K. Shrivastava, R. C. Jain, Clustering of Image Data Set Using K-Means and Fuzzy K-Means Algorithms, International conference on CICN, pp. 386-391, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Thresholding Edge Detection Morphological Operations Clustering.