首页> 美国卫生研究院文献>BioMedical Engineering OnLine >Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells
【2h】

Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells

机译:利用统计功能和自动阈值技术提取色边:应用于乳腺癌细胞

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

BackgroundColor image segmentation has been so far applied in many areas; hence, recently many different techniques have been developed and proposed. In the medical imaging area, the image segmentation may be helpful to provide assistance to doctor in order to follow-up the disease of a certain patient from the breast cancer processed images. The main objective of this work is to rebuild and also to enhance each cell from the three component images provided by an input image. Indeed, from an initial segmentation obtained using the statistical features and histogram threshold techniques, the resulting segmentation may represent accurately the non complete and pasted cells and enhance them. This allows real help to doctors, and consequently, these cells become clear and easy to be counted.
机译:迄今为止,BackgroundColor图像分割已应用于许多领域。因此,近来已经开发并提出了许多不同的技术。在医学成像领域,图像分割可能有助于为医生提供帮助,以便根据乳腺癌处理后的图像来跟踪特定患者的疾病。这项工作的主要目的是从输入图像提供的三个分量图像中重建并增强每个单元。实际上,从使用统计特征和直方图阈值技术获得的初始分割中,所得分割可以准确地表示不完整和粘贴的细胞并增强它们。这为医生提供了真正的帮助,因此,这些细胞变得清晰易记。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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