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radonLikeFeaturesDemo
该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。
请举出下列文件如果您发现此代码有用：
Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法
http://seas.harvard.edu/〜 rkkumar
radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能，
getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器
makeBarFilters.m：助手为高斯函数的二阶导数滤波器
sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images.
Please cite the following paper if you find this code useful:
Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010
http://seas.harvard.edu/~rkkumar
radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features
getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters
makeBarFilters.m : Helper function for Gaussian Second Derivative Filters
sample.png : Sample image for use in this demo
)
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f(x) = Min!, g(x) >= 0, h(x) = 0
unter Regularitaetsbedingung
FUNKTIONEN:
gp.m, gp_g.m, restor.m, sigini.m
name_f.m: Zielfunktion/Gradient
name_g.m: Ungleichunen/Gradienten
name_h.m: Gleichungen/Gradienten
INPUT:
name Name des Problems
x zulaessiger Punkt als Startvektor
OUTPUT:
(x,y,z) Kuhn-Tucker-Punkt
f = f(x) Funktionswert
errorcode = 1: Max. Schrittzahl in Iteration
errorcode = 2: Max. Schrittzahl in Backtracking
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