UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811B05


Registration ID:
192213

Page Number

47-53

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Title

Boudary Detection of Medical Images using Edge following technique

Abstract

Abstract—Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Our proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. The performance and robustness of the technique have been tested to segment objects in synthetic noisy images and medical images including prostates in ultrasound images, left ventricles in cardiac magnetic resonance (MR) images, aortas in cardiovascular MR images, and knee joints in computerized tomography images. We compare the proposed segmentation technique with the active contour models (ACM), geodesic active contourmodels, active contours without edges, gradient vector flow snake models, and ACMs based on vector field convolution, by using the skilled doctors’ opinions as the ground truths. The results show that our technique performs very well and yields better performance than the classical contour models. The proposed method is robust and applicable on various kinds of noisy images without prior knowledge of noise properties. Index Terms—Boundary extraction, edge detection, edge following, image segmentation, vector field model.

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"Boudary Detection of Medical Images using Edge following technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.47-53, November-2018, Available :http://www.jetir.org/papers/JETIR1811B05.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Boudary Detection of Medical Images using Edge following technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp47-53, November-2018, Available at : http://www.jetir.org/papers/JETIR1811B05.pdf

Publication Details

Published Paper ID: JETIR1811B05
Registration ID: 192213
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 47-53
Country: VISAKHAPATNAM, ANDHRA PRADESH, INDIA .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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