원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.4
2016.04
pp.177-184
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Genetic Algorithms have been commonly getting used for solving mutually constrained and unconstrained optimization problems based on a natural selection process that imitates biological evolution. The algorithm repeatedly modifies a population of individual solutions until we get satisfactory results. The same procedures we would like to implement on large set of images and try to segment the images based on constraints and doing so we can improve the quality of image which can lead to proper image analysis.
목차
Abstract
1. Introduction
2. Genetic Algorithm
2.1. Parameters of GA
2.2 GA Process
3. Image Segmentation
4. Results and Discussion
Acknowledgments
References
1. Introduction
2. Genetic Algorithm
2.1. Parameters of GA
2.2 GA Process
3. Image Segmentation
4. Results and Discussion
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보
