资源简介
Frangi滤波是基于Hessian矩阵构造出来的一种边缘检测增强滤波算法在上面的Hessian程序中,高斯平滑参数σ为标准差,对于血管这种线形结构,当尺度因子 σ 与血管的实际宽度最匹配时,滤波器的输出最大。所以作为空间尺度因子,迭代可以得到不同尺度的输出。局部特性分析的窗口矩形的半宽一般为 3σ。
代码片段和文件信息
function [outImwhatScaleDirection] = FrangiFilter2D(I options)
% This function FRANGIFILTER2D uses the eigenvectors of the Hessian to
% compute the likeliness of an image region to vessels according
% to the method described by Frangi:2001 (Chapter 2).
% [JScaleDirection] = FrangiFilter2D(I Options)
% inputs
% I : The input image (vessel image)
% Options : Struct with input options
% .FrangiScaleRange : The range of sigmas used default [1 8]
% .FrangiScaleRatio : Step size between sigmas default 2
% .FrangiBetaOne : Frangi correction constant default 0.5
% .FrangiBetaTwo : Frangi correction constant default 15
% .BlackWhite : Detect black ridges (default) set to true for
% white ridges set to false.
% .verbose : Show debug information default true
% outputs
% J : The vessel enhanced image (pixel is the maximum found in all scales)
% Scale : Matrix with the scales on which the maximum intensity
% of every pixel is found
% Direction : Matrix with directions (angles) of pixels (from minor eigenvector)
%
% Written by Marc Schrijver 2/11/2001
% Re-Written by D.Kroon University of Twente (May 2009)
defaultoptions = struct(‘FrangiScaleRange‘ [1 5] ‘FrangiScaleRatio‘ 2 ‘FrangiBetaOne‘ 0.5 ‘FrangiBetaTwo‘ 15 ‘verbose‘true‘BlackWhite‘true);
% Process inputs
if(~exist(‘options‘‘var‘))
options=defaultoptions;
else
tags = fieldnames(defaultoptions);
for i=1:length(tags)
if(~isfield(optionstags{i})) options.(tags{i})=defaultoptions.(tags{i}); end
end
if(length(tags)~=length(fieldnames(options)))
warning(‘FrangiFilter2D:unknownoption‘‘unknown options found‘);
end
end
%sigam范围从FrangiScaleRange(1)到FrangiScaleRange(2),步长为FrangiScaleRatio,具体要结合图像
sigmas=options.FrangiScaleRange(1):options.FrangiScaleRatio:options.FrangiScaleRange(2);
sigmas =
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