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

Question

Simon Dussault 2013-2-8

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/62753-color-filtration-for-green-brown-orange-white-and-black

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

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Image Analyst 2013-2-8

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/62753-color-filtration-for-green-brown-orange-white-and-black#answer_74312

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