Color filtration for Green, Brown, Orange, White and black

9 次查看（过去 30 天）
Simon Dussault
Simon Dussault 2013-2-8
编辑： Walter Roberson 2016-4-3
Hi, i found this code to detect different colors in my input image. But it only detects red, blue and yellow. I want to know if someone ever seen this method to filter color, and if yes how can i had the other colors i want to find? The lines im talking about are:
%red if (ImgR(i,j,1)>=0.3) & (ImgR(i,j,2)<=0.45) & (ImgR(i,j,3)<=0.45)
%blue if (ImgB(i,j,1)<=0.45) & (ImgB(i,j,2)<=0.45) & (ImgB(i,j,3)>=0.2)
%yellow if (ImgY(i,j,1)>=0.6) & (ImgY(i,j,2)>=0.6) & (ImgY(i,j,3)<=0.3)
Here's the code :
function [Img] = ColorDt(InputImg,ColorInd)
%color filtration
%receipt of the image?
%InputImg=double(InputImg)./255;
[N, M, s]=size(InputImg);
% morphological image analysis
se=strel('disk',5); %diamond ball square disk
inImR=imerode(InputImg, se);
InputImg1=imreconstruct(inImR, InputImg);
InputImg=imdilate(InputImg1, se);
inIm=imreconstruct(imcomplement(InputImg), imcomplement(InputImg1));
InputImg=imcomplement(inIm);
%color filtration
if(ColorInd==1)
%figure,imshow(InputImg);
ImgR = InputImg;
for i=1:N
for j=1:M
%red
if (ImgR(i,j,1)>=0.3) & (ImgR(i,j,2)<=0.45) & (ImgR(i,j,3)<=0.45)
ImgR(i,j,1)=1;
ImgR(i,j,2)=1;
ImgR(i,j,3)=1;
else
ImgR(i,j,1)=0;
ImgR(i,j,2)=0;
ImgR(i,j,3)=0;
end;
end;
end;
%figure,imshow(ImgR)
Img = DelNoise(ImgR);
%figure,imshow(Img)
end;
if(ColorInd==2)
ImgB = InputImg;
for i=1:N
for j=1:M
%blue
if (ImgB(i,j,1)<=0.45) & (ImgB(i,j,2)<=0.45) & (ImgB(i,j,3)>=0.2)
ImgB(i,j,1)=1;
ImgB(i,j,2)=1;
ImgB(i,j,3)=1;
else
ImgB(i,j,1)=0;
ImgB(i,j,2)=0;
ImgB(i,j,3)=0;
end;
end;
end;
Img = DelNoise(ImgB);
%figure,imshow(Img)
end
if(ColorInd==3)
ImgY = InputImg;
for i=1:N
for j=1:M
%yellow
if (ImgY(i,j,1)>=0.6) & (ImgY(i,j,2)>=0.6) & (ImgY(i,j,3)<=0.3)
ImgY(i,j,1)=1;
ImgY(i,j,2)=1;
ImgY(i,j,3)=1;
else
ImgY(i,j,1)=0;
ImgY(i,j,2)=0;
ImgY(i,j,3)=0;
end;
end;
end;
Img = DelNoise(ImgY);
%figure,imshow(Img);
end
% figure,imshow(ImgR);
% figure,imshow(ImgB);
% figure,imshow(ImgY);
end

请先登录，再回答此问题。

采纳的回答

Image Analyst
Image Analyst 2013-2-8
It looks like whoever wrote this is not familiar with the vectorized methods in MATLAB - this code is very inefficient. But anyway, all you have to do is to get rid of the "if" test for three distinct cases, and just change the numbers to whatever they are for whatever color you want.
if (InputImg(i,j,1)>=0.6) & (InputImg(i,j,2)>=0.6) & (InputImg(i,j,3)<=0.3) % Change these #'s
If you want to see a better, more flexible method, see the "Color segmentation by delta E color difference" in my File Exchange: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Processing Toolbox 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