A comparison Study of Image Edge Segmentation Methods using Prewitt, Sobel and Laplacian of Gaussian for Medical Images
DOI:
https://doi.org/10.32792/jeps.v12i2.161الكلمات المفتاحية:
Image segmentation، Edge detection,، Prewitt,، Sobel,، Laplacian of Gaussian، PSNR، SNRالملخص
Image processing has an important and main role in several fields. It uses to understand and discover the
image and its objects in efficiently and meaningful way. The understanding is a main step to extract
information form image. The more realization has been established from different scientists in the field
for image segmentation. The main segmentation purpose is to detect the edges information which
available inside an image clearly. Edges are the important character for image and it has produced by
summaries of the things. Mostly, Edge detection steps and its techniques have employed to evaluate and
analysis of image characteristic. Many and several kinds of techniques for detecting the edges from any
type of images. This paper has achieved the comprehensive analysis about the many edge detection
techniques like Prewitt, Sobel and Laplacian of Gaussian. The comparisons are in terms PSNR (Peak
signal to noise ratio), SNR (Signal to noise ratio) and Entropy. Finally, experimentally observed that
Laplacian of Gaussian technique is working well and recorded better results than others techniques.
المراجع
A. S. Abdullah, M. H. Ali, and M. Waleed, “Distributed Prewitt Edge Detection System Using
Lightness of Ycbcr Color Space,” Webology, vol. 19, no. 1, pp. 1460–1473, 2022.
D. Kurchaniya and M. Dixit, “A Comprehensive Analysis of Image Edge Detection Techniques,”
vol. 12, no. 11, pp. 1–12, 2017.
D. Kumar and S. Dhingra, “A Review on Quality of Image during CBIR Operations and
Compression,” in Computing & Intelligent Systems, 2021, pp. 201–211.
M. J. Firdouse, “A Survey on Lung Segmentation Methods,” vol. 10, no. 9, pp. 2875–2885, 2017.
X. Yan et al., “Combination of Sobel + Prewitt Edge Detection Method with Roberts + Canny on
Passion Flower Image Identification Combination of Sobel + Prewitt Edge Detection Method with
Roberts + Canny on Passion Flower Image Identification,” Virtual Conf. Eng. Sci. Technol., pp. 1–
, 2021.
K. M. Sudharshan, P. Joshi, and T. F. Francis, “Design of a Sobel Edge Detection Algorithm on
FPGA,” Turkish J. Comput. Math. Educ., vol. 12, no. 12, pp. 2458–2462, 2021.
E. G. Kaur, E. Komal, and P. G. Singh, “Edge Detection using Enhanced Laplacian Operator on
Diabetic affected Eyes,” Int. J. Innov. Sci. Eng. Technol., vol. 8, no. 3, pp. 132–139, 2021.
O. Performances, “Evaluation and Comparative Study of Edge Detection Techniques,” J. Comput.
Eng. (, vol. 22, no. 5, pp. 6–15, 2020.
K. B. Krishnan, S. P. Ranga, and N. Guptha, “A Survey on Different Edge Detection Techniques
for Image Segmentation,” vol. 10, no. January, 2017.
M. Waseem Khan, “A Survey: Image Segmentation Techniques,” Int. J. Futur. Comput. Commun.,
vol. 3, no. 2, pp. 89–93, 2014.
X. Yan et al., “A Survey of Sobel Edge Detection VLSI Architectures A Survey of Sobel Edge
Detection VLSI Architectures,” J. Phys., vol. 3, no. 2, pp. 1–11, 2021.
K. Elakkia and P. Narendran, “Survey of Medical Image Segmentation Using Removal of
Gaussian Noise in Medical Image,” IJESC, vol. 6, no. 6, pp. 7593–7595, 2016.
L. Zhou and E. Xu, “Research and Implementation of an OpenMV- Based Target Edge Detection
and Tracking System,” J. Phys., pp. 1–8, 2022.
P. Kandhway and A. Kumar, Spatial context-based optimal multilevel energy curve thresholding
for image segmentation using soft computing techniques, vol. 9. Springer London, 2019.
M. A. Sullabi, “Using Prewitt Operator as Gradient-Based Method for Fingerprint Singular
Points,” Int. J. Enginereing Inf. Technol., vol. 6, no. 2, pp. 2–5, 2020.
A. Dixit, S. Majumdar, N. Campus, U. Pradesh, and E. Systems, “C OMPARATIVE A NALYSIS
OF C OIFLET AND D AUBECHIES W AVELETS USING G LOBAL T HRESHOLD FOR I
MAGE D E -,” vol. 6, no. 5, pp. 2247–2252, 2013.
S. Bejinariu, H. Costin, S. Member, F. Rotaru, and R. Luca, “Nature Inspired Optimization
Techniques for Image Processing— A Short Review,” in Intelligent Systems Reference Library
Jayanthi & Shashikumar, “Survey on Agriculture Image Segmentation Techniques,” Asian J. Appl.
Sci. Technol., vol. 1, no. 8, pp. 143–147, 2017.
M. Yasir, S. Hossain, S. Nazir, S. Khan, and R. Thapa, “Object Identification Using Manipulated
Edge Detection Techniques,” Sci. Puplishing Gr., vol. 3, no. 1, pp. 1–6, 2022.
R. R. K. Al-taie, B. J. Saleh, and L. A. Salman, “Image Edge-Segmentation Techniques : A
Review,” Int. J. Sci. Res. Sci. Eng. Technol., vol. 8, no. 5, pp. 252–257, 2021.
S. M. A. Huda, I. J. Ila, S. Sarder, and N. Y. Ali, “An Improved Approach for Detection of
Diabetic Retinopathy Using Feature Importance and Machine Learning Algorithms,” Int. J. Appl.
Eng. Res., vol. 13, no. June, pp. 1716–1721, 2019.
S. R. J. Ramson, K. L. Raju, S. Vishnu, and T. Anagnostopoulos, Nature Inspired Optimization
Techniques for Image Processing — A Short Chapter 5 Nature Inspired Optimization Techniques
for Image Processing — A Short Review, no. January. Springer International Publishing, 2019.
F. Banu, “An Optimized Approach of Modified BAT Algorithm to Record Deduplication,” Int. J.
Comput. Appl., vol. 62, no. 1, pp. 10–15, 2013.
S. A. Saleem, “Survey on Color Image Enhancement Techniques using Spatial Filtering Survey on
Color Image Enhancement Techniques using Spatial Filtering,” no. May 2014, 2015.
S. Kaur, “Review and Analysis of Various Image Enhancement Techniques,” Int. J. Comput. Appl.
Technol. Res., vol. 4, no. 5, pp. 414–418, 2015.
التنزيلات
منشور
إصدار
القسم
الرخصة
The Authors understand that, the copyright of the articles shall be assigned to Journal of education for Pure Science (JEPS), University of Thi-Qar as publisher of the journal.
Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc. , will be allowed only with a written permission from Journal of education for Pure Science (JEPS), University of Thi-Qar.
Journal of education for Pure Science (JEPS), University of Thi-Qar, the Editors and the Advisory International Editorial Board make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in the Journal of education for Pure Science (JEPS), University of Thi-Qar are sole and exclusive responsibility of their respective authors and advertisers.
