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Reseach Article

Histogram Based Classification of Ultrasound Images of Placenta

by G. Malathi, V. Shanthi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 16
Year of Publication: 2010
Authors: G. Malathi, V. Shanthi
10.5120/343-522

G. Malathi, V. Shanthi . Histogram Based Classification of Ultrasound Images of Placenta. International Journal of Computer Applications. 1, 16 ( February 2010), 49-52. DOI=10.5120/343-522

@article{ 10.5120/343-522,
author = { G. Malathi, V. Shanthi },
title = { Histogram Based Classification of Ultrasound Images of Placenta },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 16 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 49-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number16/343-522/ },
doi = { 10.5120/343-522 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:42:41.897697+05:30
%A G. Malathi
%A V. Shanthi
%T Histogram Based Classification of Ultrasound Images of Placenta
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 16
%P 49-52
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, the authors have made an attempt to classify the placenta based on the intensity level of histogram of the ultrasound images of placenta. The medical images are usually low in resolution. Specialized tools are required to assist the medical experts in medical image diagnosis and for further treatment. The image histogram is used to classify the ultrasound images of placenta into normal and abnormal placenta using k nearest neighbor classifier. It is further used to analyze the complications of gestational diabetes mellitus on the growth of the placenta.

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Index Terms

Computer Science
Information Sciences

Keywords

Placenta k nearest neighbor classification intensity