【图像检测】基于Combined Separability Filter实现鼻孔和瞳孔等圆检测matlab源码

1 内容介绍

In this paper, we propose a fast combined separabil-ity filter, which can selectively detect circular features such as pupils and nostrils in an image of the human face. The proposed filter is designed as a combination of multiple rectangle separability filters so that it can achieve high-speed processing and high positioning ac-curacy at the same time. The evaluation experiments using synthetic images and real face images show that the proposed filter is 70 times faster than the conven-tional circular separability filter.​

2 仿真代码

function MAP = cvtCombSimpRectFilter(I,P,sh)% Function to generate separability map for rectangular filters (vertical and horizontal)% Input: I: integral image, obtained by using cvtIntegralImage45(X);%        P: integral image of the square pixel values, obtained by using cvtIntegralImage45(X.^2);%        sh: size of the filter% Output: MAP: two separability maps (diagonal left and diagonal right), with size: [Height, Width, 2].%​​bh = sh*2;bw = ceil(sh/3);sw = ceil(sh/3);dh  =0;dw  =0;​MAP(:,:,1) = tmpFnc(I,P,bh,bw,sh,sw,dh,dw);MAP(:,:,2) = tmpFnc(I,P,bw,bh,sw,sh,dh,dw);​end​%%function MAP = tmpFnc(I,P,bh,bw,sh,sw,dh,dw)MAP   = zeros(size(I)-1);[H,W] = size(MAP);r = max([bh,bw]);N  = (2*bh+1)*(2*bw+1);N1 = (2*sh+1)*(2*sw+1);N2 = N-N1;​S =I((1+r:H-r)-bh,(1+r:W-r)-bw) + I((1+r:H-r)+bh+1,(1+r:W-r)+bw+1) - I((1+r:H-r)-bh,(1+r:W-r)+bw+1) -I((1+r:H-r)+bh+1,(1+r:W-r)-bw);T =P((1+r:H-r)-bh,(1+r:W-r)-bw) + P((1+r:H-r)+bh+1,(1+r:W-r)+bw+1) - P((1+r:H-r)-bh,(1+r:W-r)+bw+1) -P((1+r:H-r)+bh+1,(1+r:W-r)-bw);​M = S./N;Y = T./N;St = Y - M.^2;S1 =I((1+r:H-r)-sh+dh,(1+r:W-r)-sw+dw) + I((1+r:H-r)+sh+dh+1,(1+r:W-r)+sw+dw+1) - I((1+r:H-r)-sh+dh,(1+r:W-r)+sw+dw+1) - I((1+r:H-r)+sh+dh+1,(1+r:W-r)-sw+dw);S2=S-S1;M1=S1./N1;M2=S2./N2;​Sb = ((N1*((M1-M).^2)) + (N2*((M2-M).^2)))/N;MAP((1+r:H-r),(1+r:W-r)) = (Sb./St).*sign(M2-M1);MAP(isnan(MAP))=0;MAP(isinf(MAP))=0;end​

3 运行结果

4 参考文献

[1] Qiu C ,  Kotani K ,  Lee F , et al. An Accurate Eye Detection Method Using Elliptical Separability Filter and Combined Features[J]. Int.j.comput. netw.secur, 2009, 9(8):65-72.

[2] Y. Ohkawa, C. H. Suryanto, K. Fukui,  "Fast Combined Separability Filter for Detecting Circular Objects", 

 The twelfth IAPR conference on Machine Vision Applications (MVA) pp.99-103, 2011.

[3] K. Fukui, O. Yamaguchi, "Facial feature point extraction method based on combination of shape extraction   and pattern matching", Systems and Computers in Japan 29 (6), pp.49-58, 1998.

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