How to get Pixels intensities on a circles with radii R for an image with selective angles?

3 次查看（过去 30 天）
Rashmi.D Jeya kumar
编辑： Rashmi.D Jeya kumar 2018-1-30
How to get Pixels intensities on a circles with radii R for an image with selective angles?
  4 个评论
显示 2更早的评论
KSSV
KSSV 2018-1-12
You have these location on circle...do you have any other image, for which you want to extract the pixel values?

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2018-1-12
Try this:
for k = 1 : length(x)
row = round(y(k)); % Round to nearest integer.
col = round(x(k)); % Round to nearest integer.
pixelValues(k) = grayImage(row, col);
end
  8 个评论
显示 6更早的评论
Rashmi.D Jeya kumar
Rashmi.D Jeya kumar 2018-1-30
编辑：Rashmi.D Jeya kumar 2018-1-30
clc;
clear all;
close all;
M= imread('alu foil.jpg') ;
I=rgb2gray(M);
%I=mat2gray(N);
I1=imgaussfilt(I,2);
I2=imgaussfilt(I1,2);
I3=imgaussfilt(I2,2);
subplot(2,2,1);imshow(I);title('orginal image', 'FontSize', 10);
subplot(2,2,2);
imshow(I1);
title('1st Blur', 'FontSize', 10);
subplot(2,2,3);
imshow(I2);
title('2nd Blur', 'FontSize', 10);
subplot(2,2,4);
imshow(I3);
title('3rd Blur', 'FontSize', 10);
[ro co]=size(I);
for r = 2 : ro - 1
for c = 2 : co - 1
centerPixel = I(ro, co);
end
end
meanval = mean2(I);
ELBP_CI = double((centerPixel-meanval) >= 0);
P neighbors of a central pixel are evenly distributed on a circle with radius R and have intensities denoted as gp;By comparing neighboring pixels with their average value denoted as uR
spatial relationships of pixels on two circles with radius R,R'
R= 40;
xc=size(I)/2+.5;
yc=size(I)/2+.5;
Angles = [0, 45, 90, 135, 180, 225, 270, 315, 360] ;
x = xc(1)+R*cos(Angles*pi/180) ;
y = yc(1)+R*sin(Angles*pi/180) ;
for k = 1 : length(x)
row = round(y(k));
col = round(x(k));
pixelvalue(k) = I(row, col);
end
neighb_pixelsaverage=(pixelvalue(1)/9)+(pixelvalue(2)/9)+(pixelvalue(3)/9)+(pixelvalue(4)/9)+(pixelvalue(5)/9)+(pixelvalue(6)/9)+(pixelvalue(7)/9)+(pixelvalue(8)/9)+(pixelvalue(9)/9);
ELBPNI=0;
for i=1 : length(pixelvalue)
L=pixelvalue(i)-neighb_pixelsaverage;
if(L>=0)
M=1;
end
if (L<0)
M=0;
end
ELBPNI(i)=M*(2^i);
ELBPNI=ELBPNI+ELBPNI(i);
end
ELBP_NI=ELBPNI;
R=70;
x = xc(1)+R*cos(Angles*pi/180) ;
y = yc(1)+R*sin(Angles*pi/180) ;
for k = 1 : length(x)
row = round(y(k));
col = round(x(k));
pixelvalue1(k) = I(row, col);
end
neighb_pixelsaverage1=(pixelvalue1(1)/9)+(pixelvalue1(2)/9)+(pixelvalue1(3)/9)+(pixelvalue1(4)/9)+(pixelvalue1(5)/9)+(pixelvalue1(6)/9)+(pixelvalue1(7)/9)+(pixelvalue1(8)/9)+(pixelvalue1(9)/9);
ELBPNI=0;
for i=1 : length(pixelvalue)
L=pixelvalue1(i)-neighb_pixelsaverage1;
if(L>=0)
M=1;
if(L<0)
M=0;
end
ELBPNI1(i)=M*(2^i);
ELBPNI1=ELBPNI1+ELBPNI1(i);
end
end
ELBP_NI1=ELBPNI1;
for i=1 : length(pixelvalue)
L=pixelvalue(i)-pixelvalue1(i);
if(L>=0)
M=1;
if(L<0)
M=0;
end
ELBPRD(i)=M*(2^i);
ELBPRD=ELBPRD+ELBPRD(i);
end
end
ELBP_RD=ELBPRD;
I didnt complete entire code.up to this the code is right or any modifications?
clc;
clear all;
close all;
M= imread('alu foil.jpg') ;
I=rgb2gray(M);
%I=mat2gray(N);
I1=imgaussfilt(I,2);
I2=imgaussfilt(I1,2);
I3=imgaussfilt(I2,2);
subplot(2,2,1);imshow(I);title('orginal image', 'FontSize', 10);
subplot(2,2,2);
imshow(I1);
title('1st Blur', 'FontSize', 10);
subplot(2,2,3);
imshow(I2);
title('2nd Blur', 'FontSize', 10);
subplot(2,2,4);
imshow(I3);
title('3rd Blur', 'FontSize', 10);
[ro co]=size(I);
for r = 2 : ro - 1
for c = 2 : co - 1
centerPixel = I(ro, co);
end
end
meanval = mean2(I);
ELBP_CI = double((centerPixel-meanval) >= 0);
R= 40;
xc=size(I)/2+.5;
yc=size(I)/2+.5;
Angles = [0, 45, 90, 135, 180, 225, 270, 315, 360] ;
x = xc(1)+R*cos(Angles*pi/180) ;
y = yc(1)+R*sin(Angles*pi/180) ;
for k = 1 : length(x)
row = round(y(k));
col = round(x(k));
pixelvalue(k) = I(row, col);
end
neighb_pixelsaverage=(pixelvalue(1)/9)+(pixelvalue(2)/9)+(pixelvalue(3)/9)+(pixelvalue(4)/9)+(pixelvalue(5)/9)+(pixelvalue(6)/9)+(pixelvalue(7)/9)+(pixelvalue(8)/9)+(pixelvalue(9)/9);
ELBPNI=0;
for i=1 : length(pixelvalue)
L=pixelvalue(i)-neighb_pixelsaverage;
if(L>=0)
M=1;
end
if (L<0)
M=0;
end
ELBPNI(i)=M*(2^i);
ELBPNI=ELBPNI+ELBPNI(i);
end
ELBP_NI=ELBPNI;
R=70;
x = xc(1)+R*cos(Angles*pi/180) ;
y = yc(1)+R*sin(Angles*pi/180) ;
for k = 1 : length(x)
row = round(y(k));
col = round(x(k));
pixelvalue1(k) = I(row, col);
end
neighb_pixelsaverage1=(pixelvalue1(1)/9)+(pixelvalue1(2)/9)+(pixelvalue1(3)/9)+(pixelvalue1(4)/9)+(pixelvalue1(5)/9)+(pixelvalue1(6)/9)+(pixelvalue1(7)/9)+(pixelvalue1(8)/9)+(pixelvalue1(9)/9);
ELBPNI=0;
for i=1 : length(pixelvalue)
L=pixelvalue1(i)-neighb_pixelsaverage1;
if(L>=0)
M=1;
if(L<0)
M=0;
end
ELBPNI1(i)=M*(2^i);
ELBPNI1=ELBPNI1+ELBPNI1(i);
end
end
ELBP_NI1=ELBPNI1;
for i=1 : length(pixelvalue)
L=pixelvalue(i)-pixelvalue1(i);
if(L>=0)
M=1;
if(L<0)
M=0;
end
ELBPRD(i)=M*(2^i);
ELBPRD=ELBPRD+ELBPRD(i);
end
end
ELBP_RD=ELBPRD;

请先登录，再进行评论。

更多回答（1 个）

KSSV
KSSV 2018-1-12
编辑：KSSV 2018-1-12
I = imread('alu foil.jpg') ;
[nx,ny,d] = size(I) ;
%%define your circle
R= 10 ;
figure
hold on
imshow(I) ;
[xc,yc] = getpts() ; % extract the center of circle
%
Angles = [0, 45, 90, 135, 180, 225, 270, 315, 360] ; % location in degrees
% In polar coordinates
iwant = [R*ones(1, length(Angles)); Angles*pi/180] ;
% In cartesian coordinates
x = xc(1)+R*cos(Angles*pi/180) ;
y = yc(1)+R*sin(Angles*pi/180) ;
%
hold on
plot(x,y,'*r') ;
%%Do interpolation to get pixels
R = uint8(interp2(1:ny,1:nx,double(I(:,:,1)),x,y)) ; % Red Channel
G = uint8(interp2(1:ny,1:nx,double(I(:,:,2)),x,y)) ; % Green Channel
B = uint8(interp2(1:ny,1:nx,double(I(:,:,3)),x,y)) ; % Blue Channel
When prompted...click at a point, where you want the circle to be. This point will be the center of circle.

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning for Image Processing 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by