首页> 外文会议>IEEE International Conference on Image Processing;ICIP 2012 >Entropy-based spatially-varying adjustment of active contour parameters
【24h】

Entropy-based spatially-varying adjustment of active contour parameters

机译:有效轮廓参数基于熵的空间变化调整

获取原文

摘要

Parameter adjustment is a crucial, open issue in active contour methodology. Most state-of-the-art active contours are empirically adjusted on a trial and error basis. Such an empirical approach lacks scientific foundation, leads to suboptimal segmentation results and requires technical skills from the end-user. This work introduces a method for automatic adjustment of active contour parameters, which is based on image entropy. In addition, instead of being uniform, the parameter values calculated are spatially-varying, so as to reflect textural variations over the image. Experimental evaluation of the proposed method is conducted on thyroid US images, liver MRI images, as well as on real-world photographs. The results indicate that the proposed method is capable of identifying plausible object boundaries, obtaining a segmentation quality which is comparable to the one obtained with empirical parameter adjustment. Moreover, the applicability of the proposed method is not confined on a single active contour variation.
机译:在主动轮廓法中,参数调整是至关重要的,开放的问题。大多数先进的主动轮廓在试验和错误的基础上根据经验进行调整。这种经验方法缺乏科学依据,导致细分结果不理想,并且需要最终用户提供技术技能。这项工作介绍了一种基于图像熵自动调整活动轮廓参数的方法。另外,计算出的参数值不是统一的,而是空间上变化的,以便反映图像上的纹理变化。对甲状腺超声图像,肝脏MRI图像以及真实照片进行实验评估。结果表明,该方法能够识别合理的目标边界,获得与经验参数调整可比的分割质量。此外,所提出的方法的适用性不限于单个有效轮廓变化。

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