TY  - JOUR
TI  - A Comparative Study of Ant and Genetic Algorithms in Digital Mammography 
AU  - J. Magelin Mary
AU  -  K. Chitra
AU  -  Y. Arockia Suganthi
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/12/30
PY  - 2018
DO  - https://doi.org/10.32628/CSEIT183863
UR  - https://ijsrcseit.com/CSEIT183863
VL  - 3
IS  - 8
SP  - 194	
EP  - 200
AB  - 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.