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一种基于矩的三维边缘算子。

A moment-based three-dimensional edge operator.

作者信息

Luo L M, Hamitouche C, Dillenseger J L, Coatrieux J L

机构信息

Department of Biomedical Engineering, Southeast University, Nanjing, China.

出版信息

IEEE Trans Biomed Eng. 1993 Jul;40(7):693-703. doi: 10.1109/10.237699.

DOI:10.1109/10.237699
PMID:8244430
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2442720/
Abstract

This paper presents a three-dimensional edge operator aimed at the detection of anatomical structures in medical imaging. It uses the spatial moments of gray level surface, and operates in three dimensions with any window size. It allows us to estimate the location and the contrast surface, as well as the surface orientation. The computation of the discrete version is reported. Bias and errors due to the spatial sampling and noise are analyzed both at a theoretical and experimental level. The moment-based operator is compared with other well-known edge operators on simple shaped primitives for which the analytical solution is known. The 3D rendering of real data is then provided by merging the operator in a ray-tracing framework.

摘要

本文提出了一种用于医学成像中解剖结构检测的三维边缘算子。它利用灰度表面的空间矩，并能在任意窗口大小下进行三维操作。它使我们能够估计位置和对比度表面，以及表面方向。报告了离散版本的计算方法。在理论和实验层面上分析了由于空间采样和噪声导致的偏差和误差。将基于矩的算子与其他知名边缘算子在已知解析解的简单形状基元上进行了比较。然后通过将该算子合并到光线追踪框架中来提供真实数据的三维渲染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/7cd193b07e05/halms133014f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/353b77cc1530/halms133014f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/65c9f3a68b6c/halms133014f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/54fc8169a8b9/halms133014f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/09f4ae142dae/halms133014f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/2d7728ef0bf9/halms133014f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/b5a852c2062d/halms133014f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/c1ade91907f2/halms133014f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/b7bf146e2ad2/halms133014f9a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/5fa64bb111ff/halms133014f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/7cd193b07e05/halms133014f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/353b77cc1530/halms133014f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/fdd0cff014ea/halms133014f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/65c9f3a68b6c/halms133014f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/54fc8169a8b9/halms133014f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/09f4ae142dae/halms133014f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/2d7728ef0bf9/halms133014f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/b5a852c2062d/halms133014f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/c1ade91907f2/halms133014f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/b7bf146e2ad2/halms133014f9a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/5fa64bb111ff/halms133014f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71c6/2442720/7cd193b07e05/halms133014f11.jpg

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本文引用的文献

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A computational approach to edge detection.一种基于计算的边缘检测方法。
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