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A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation

by Mukesh Kumar Tripathi, Dhananjay D. Maktedar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 52
Year of Publication: 2018
Authors: Mukesh Kumar Tripathi, Dhananjay D. Maktedar
10.5120/ijca2018917336

Mukesh Kumar Tripathi, Dhananjay D. Maktedar . A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation. International Journal of Computer Applications. 179, 52 ( Jun 2018), 25-32. DOI=10.5120/ijca2018917336

@article{ 10.5120/ijca2018917336,
author = { Mukesh Kumar Tripathi, Dhananjay D. Maktedar },
title = { A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2018 },
volume = { 179 },
number = { 52 },
month = { Jun },
year = { 2018 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number52/29533-2018917336/ },
doi = { 10.5120/ijca2018917336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:03.346457+05:30
%A Mukesh Kumar Tripathi
%A Dhananjay D. Maktedar
%T A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 52
%P 25-32
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An accurate technique for segmentation of fruits and vegetables image is vital and major challenges in computer vision. Various segmentation techniques are available in digital image processing. In this paper, we introduce a framework for fruits and vegetables background subtraction employing Otsu’s algorithm. This method is widely used in various image segmentation applications. The Otsu’s method is useful in subtraction of background under the partial effect of occlusion, cropping, noisy and blurred images. Our proposed method was experimented by employing fruit and vegetable images acquired locally. Our experimental results confirm that, Otsu’s threshold based method is able to extract fruit and vegetable objects with good accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Otsu’s method Image segmentation Fruits and vegetables Image Morphological Operation Thresholding Method

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