核心提示:MATLAB代做|FPGA代做-Harris 角点...
% Harris detector
% The code calculates
% the Harris Feature Points(FP)
%
% When u execute the code, the test image file opened
% and u have to select by the mouse the region where u
% want to find the Harris points,
% then the code will print out and display the feature
% points in the selected region.
% You can select the number of FPs by changing the variables
% max_N & min_N
% A. Ganoun
load Imag
I =double(frame);
%****************************
imshow(frame);
k = waitforbuttonpress;
point1 = get(gca,'CurrentPoint'); %button down detected
rectregion = rbbox; %%%return figure units
point2 = get(gca,'CurrentPoint');%%%%button up detected
point1 = point1(1,1:2); %%% extract col/row min and maxs
point2 = point2(1,1:2);
lowerleft = min(point1, point2);
upperright = max(point1, point2);
ymin = round(lowerleft(1)); %%% arrondissement aux nombrs les plus proches
ymax = round(upperright(1));
xmin = round(lowerleft(2));
xmax = round(upperright(2));
%***********************************
Aj=6;
cmin=xmin-Aj; cmax=xmax+Aj; rmin=ymin-Aj; rmax=ymax+Aj;
min_N=12;max_N=16;
%%%%%%%%%%%%%%Intrest Points %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
sigma=2; Thrshold=20; r=6; disp=1;
dx = [-1 0 1; -1 0 1; -1 0 1]; % The Mask
dy = dx';
%%%%%%
Ix = conv2(I(cmin:cmax,rmin:rmax), dx, 'same');
Iy = conv2(I(cmin:cmax,rmin:rmax), dy, 'same');
g = fspecial('gaussian',max(1,fix(6*sigma)), sigma); %%%%%% Gaussien Filter
%%%%%
Ix2 = conv2(Ix.^2, g, 'same');
Iy2 = conv2(Iy.^2, g, 'same');
Ixy = conv2(Ix.*Iy, g,'same');
%%%%%%%%%%%%%%
k = 0.04;
R11 = (Ix2.*Iy2 - Ixy.^2) - k*(Ix2 + Iy2).^2;
R11=(1000/max(max(R11)))*R11;
R=R11;
ma=max(max(R));
sze = 2*r+1;
MX = ordfilt2(R,sze^2,ones(sze));
R11 = (R==MX)&(R>Thrshold);
count=sum(sum(R11(5:size(R11,1)-5,5:size(R11,2)-5)));
loop=0;
while (((count<min_N)|(count>max_N))&(loop<30))
if count>max_N
Thrshold=Thrshold*1.5;
elseif count < min_N
Thrshold=Thrshold*0.5;
end
R11 = (R==MX)&(R>Thrshold);
count=sum(sum(R11(5:size(R11,1)-5,5:size(R11,2)-5)));
loop=loop+1;
end
R=R*0;
R(5:size(R11,1)-5,5:size(R11,2)-5)=R11(5:size(R11,1)-5,5:size(R11,2)-5);
[r1,c1] = find(R);
PIP=[r1+cmin,c1+rmin]%% IP
%%%%%%%%%%%%%%%%%%%% Display
Size_PI=size(PIP,1);
for r=1: Size_PI
I(PIP(r,1)-2:PIP(r,1)+2,PIP(r,2)-2)=255;
I(PIP(r,1)-2:PIP(r,1)+2,PIP(r,2)+2)=255;
I(PIP(r,1)-2,PIP(r,2)-2:PIP(r,2)+2)=255;
I(PIP(r,1)+2,PIP(r,2)-2:PIP(r,2)+2)=255;
end
imshow(uint8(I))
联系:highspeedlogic
QQ :1224848052
微信:HuangL1121
邮箱:1224848052@qq.com
微信扫一扫:
--------------------------------------------------------------------------------------
人工智能代做,深度学习代做,深度强化学习代做,zynq智能系统FPGA开发,
AI代做,卷积神经网络,Alexnet,GoogleNet,CNN,TensorFlow,
caffe,pointnet,PPO,Qlearning,FasterRCNN,MTCNN,
SPPNet,word2vec,SARASA算法,梯度策略等等