...
首页> 外文期刊>Asian Journal of Information Technology >Removal of Pectoral Muscle Region in Mammogram Image by Metaheuristic Algorithm-Monkey Search Optimization (MSO)
【24h】

Removal of Pectoral Muscle Region in Mammogram Image by Metaheuristic Algorithm-Monkey Search Optimization (MSO)

机译:元启发式算法-猴子搜索优化(MSO)去除乳腺X线照片中胸肌区域

获取原文
   

获取外文期刊封面封底 >>

       

摘要

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.
机译:在这项研究中,提出了一种基于元启发式算法的不同方法,该方法使用图像分割过程来去除乳房X线照片中的胸肌区域。猴子的觅食行为被优化为“猴子搜索优化”(MSO),它是元启发式算法的子集。为了通过合作解决复杂的问题,需要考虑自然的行为。文献中介绍了几种基于人口的元启发式算法的算法,以解决诸如优化问题之类的各种问题。结果证明,所提出的方法有可能成为图像分割的合适算法。基于在MATLAB中实现的仿真结果给出了结果,并在MIAS数据库的图像上进行了测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号