Authors :
Dr. M. Renuka Devi; V. Sindhu
Volume/Issue :
Volume 5 - 2020, Issue 7 - July
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2PxQAvU
DOI :
10.38124/IJISRT20JUL768
Abstract :
This paper discusses the methods to detect
the presence of uterus fibroid in woman by
implementing various image processing techniques. The
input image is an ultrasound image as it is cost effective
when compared to other imaging techniques like CT,
MRI. The initial step in image processing is to remove
noise by applying filters. Application of filters smoothen
the image without blurring the image. Gradient of the
processed image is calculated and the image is enhanced
by sharpening the edges of the image are achieved by
calculating the local maxima of the gradient. Then, the
edges are decided by calculating the threshold value of
the processed image. The proposed Gaussismooth
Convolution Filter gives better results when compared
with other existing filter with PSNR value of 94%.
Keywords :
Uterus, Fibroid, Ultrasound, Gaussismooth Convolution Filter.
This paper discusses the methods to detect
the presence of uterus fibroid in woman by
implementing various image processing techniques. The
input image is an ultrasound image as it is cost effective
when compared to other imaging techniques like CT,
MRI. The initial step in image processing is to remove
noise by applying filters. Application of filters smoothen
the image without blurring the image. Gradient of the
processed image is calculated and the image is enhanced
by sharpening the edges of the image are achieved by
calculating the local maxima of the gradient. Then, the
edges are decided by calculating the threshold value of
the processed image. The proposed Gaussismooth
Convolution Filter gives better results when compared
with other existing filter with PSNR value of 94%.
Keywords :
Uterus, Fibroid, Ultrasound, Gaussismooth Convolution Filter.
