首页> 外文会议>Conference on biomedical photonics and optoelectronic imaging >Enlargement and Enhancement of Electronic Endoscopic Images Based on Recursive Minimum-maximum Method
【24h】

Enlargement and Enhancement of Electronic Endoscopic Images Based on Recursive Minimum-maximum Method

机译:基于递归最大值法的电子内窥镜图像放大和增强

获取原文

摘要

To compensate for the imperfections of endoscopic mechanical structure and limitations of working space, in paper, a new appraoch based on recursive minimum-maximum mehtod is proposed to enlarge images of medical electronic endoscopic. This method can be used repeatedly to realize 2~n times image enlargement through optimizing the neighbourhood information of the interesting pixels in adjustable windows. In order to ensure the best evaluation of the pixel, the algorithm criterion is presented to decide whether the pixel accepts new value. Experimental results on applying the method to the endoscopic images are presented in this paper. The results demonstrate that the recursive minimum-maximum method for enlarging images can succeed in images blowing-up at the same time it preserves the fine details with rich edge-information.
机译:为了补偿内窥镜机械结构的缺陷和工作空间的限制,在纸上,提出了一种基于递归最小最大Mehtod的新验证量以扩大医用电子内窥镜的图像。通过优化可调窗口中的有趣像素的邻域信息,可以重复使用该方法以实现2〜n次图像放大。为了确保像素的最佳评估,呈现算法标准以确定像素是否接受新值。本文介绍了将方法应用于内窥镜图像的实验结果。结果表明,用于放大图像的递归最大值 - 最大值方法可以同时在图像吹出的图像中取得成功,它保留了丰富的边缘信息的细节。

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