首页    期刊浏览 2024年09月15日 星期日
登录注册

文章基本信息

  • 标题:Restoration of Gaussian Blur by Biogeography Based Optimization
  • 本地全文:下载
  • 作者:Nitika Jearth ; Raju Sharma
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 出版社:S.S. Mishra
  • 摘要:This paper introduces a new technique for restoration of Gaussian blurred image. We are not able to achieve the original image by using restoration technique. Restoration is way to interpret the image from blurred one. In this paper Biogeography based Optimization is applied to image. For the purpose of restoration image is segmented give desired restored output by finding the correlation between the neighbouring pixels in order to extract best solution based on fitness value using biogeography based optimization. Using Thresholding, we can find solution is based on threshold value which give binary representation of image or take multiple values above and below threshold value but by biogeographic based optimization best solution is extracted
  • 关键词:Biogeography based Optimization ; Thresholding ;Image Restoration; Image Segmentation; Level Set ;evolution.
国家哲学社会科学文献中心版权所有