TY  - JOUR
T1  - Removal of Pectoral Muscle Region in Mammogram Image by Metaheuristic Algorithm-Monkey Search Optimization (MSO)
AU - Suguna, S. Kanimozhi AU - Maheswari, S. Uma 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 4
SP  - 252
EP  - 259
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.252.259
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.252.259
KW  - MSO
KW  -climb
KW  -watch and jump
KW  -cooperation
KW  -somersault
KW  -stochastic perturbation mechanism
KW  -termination
AB  - In this study, a different approach based on Metaheuristic 
  algorithm is presented for removing pectoral muscle region in mammogram image 
  is carried out using image segmentation process. The foraging behavior of monkey 
  is optimized as Monkey Search Optimization (MSO) which is the subset of metaheuristic 
  algorithm. To solve complex problems by cooperation the behaviors of nature 
  is considered. Several algorithms based on population-based metaheuristic algorithms 
  were introduced in the literature to solve different problems like optimization 
  problems; it is proven by result that the proposed approach has the potential 
  to be an appropriate algorithm for image segmentation. Results are presented 
  based on simulation made with the implementation in MATLAB which is tested on 
  the images of MIAS database.
ER  -