首页> 外文会议>Target Recognition and Artificial Intelligence Summit Forum;Society of Photo-Optical Instrumentation Engineers >Optimized simultaneous algebraic reconstruction technique in image reconstruction based on optical tomography
【24h】

Optimized simultaneous algebraic reconstruction technique in image reconstruction based on optical tomography

机译:基于光学层析成像的图像优化同时代数重建技术

获取原文

摘要

Optical tomography imaging is widely used in target-detection, aerospace precision instrumentation and geologicalmaterial detection for its non-contact, long-distance and high-precision imaging characteristics. Due to the differentapplication range and structural design of the tomography system, the inevitable inadequate projection data and the offsetof the rotation center may occur in the actual acquisition, which may cause artifacts and unclearness in the reconstructedimage. In this paper, based on the research of image reconstruction algorithm, the paper compares filter back projectionalgorithm with iterative algorithm and analyzes effects of the reconstruction process with iterative algorithm under multipleparameters. Determining the appropriate weighting model, iteration number and relaxation factor, etc. Combined with highquality initial image and convex set constraints, an optimized SART algorithm is proposed. The experiment uses theoptimized SART algorithm for image reconstruction. By comparing the image evaluation parameters with sharpness andaverage gradient, it is verified that the construction image with the optimized SART is better and clearer than those withthe unoptimized SART and the simple filtered back projection algorithm.
机译:光学层析成像技术广泛应用于目标检测,航空航天精密仪器和地质学 非接触,远距离和高精度成像特性的材料检测。由于不同 层析成像系统的应用范围和结构设计,不可避免的投影数据不足和偏移 实际采集中可能会发生旋转中心的旋转,这可能会导致重建过程中出现伪影和不清晰 图像。本文在对图像重建算法的研究基础上,对滤波反投影进行了比较。 算法与迭代算法的结合,并分析了迭代算法在多种情况下重建过程的效果 参数。确定合适的加权模型,迭代次数和松弛因子等。结合高 质量初始图像和凸集约束,提出了一种优化的SART算法。实验使用 用于图像重建的优化SART算法。通过比较图像评估参数的清晰度和 平均梯度,可以证明具有优化SART的构造图像比具有最佳SART的构造图像更清晰。 未优化的SART和简单的滤波反投影算法。

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