Manuscript Number : CSEIT183863
A Comparative Study of Ant and Genetic Algorithms in Digital Mammography
Authors(3) :-J. Magelin Mary, K. Chitra, Y. Arockia Suganthi Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.
J. Magelin Mary Digital mammography, Ant colony optimization, Genetic algorithm, mammography, Image pre-processing. Publication Details Published in : Volume 3 | Issue 8 | November-December 2018 Article Preview
Assistant Professor, Holy Cross College, Trichy, Tamil Nadu, India
K. Chitra
Assistant Professor, Holy Cross College, Trichy, Tamil Nadu, India
Y. Arockia Suganthi
Assistant Professor, Holy Cross College, Trichy, Tamil Nadu, India
Date of Publication : 2018-12-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 194-200
Manuscript Number : CSEIT183863
Publisher : Technoscience Academy
Journal URL : https://res.ijsrcseit.com/CSEIT183863
Citation Detection and Elimination |
| |
BibTeX | RIS | CSV