I want to extract object from an image using the following threshold value program how can i use a filter to get the good result.

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shantanu shukla 2013-11-14

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/106050-i-want-to-extract-object-from-an-image-using-the-following-threshold-value-program-how-can-i-us

回答： Image Analyst 2013-11-25

a=imread('a6.jpg');
m=ones(600,800,3);
c=255.*m;
e=ones(600,800,3)
for i=1:600;
  for j=1:800;
      if a(i,j,1)<100
      if a(i,j,1)>55
       c(i,j,1)=a(i,j,1);
      if a(i,j,2)<104
          if a(i,j,2)>75
      c(i,j,2)=a(i,j,2);
          if a(i,j,3)<90
          if a(i,j,3)>56
           c(i,j,3)=a(i,j,3);
                          end
          end
          end
      end
  end
      end
  end        
end
e=c./255;
colormap(jet);
image(e);
...

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Walter Roberson 2013-11-18

Which object(s) are you trying to extract?

shantanu shukla 2013-11-25

Mr. Walter i want to extract tree ,river ,houses and roads. so plz help me regarding this

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回答（1 个）

Image Analyst 2013-11-25

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/106050-i-want-to-extract-object-from-an-image-using-the-following-threshold-value-program-how-can-i-us#answer_116260

You cannot get it from thresholding or even combined with texture classification. There is just too much higher level knowledge required. Maybe try this: http://www.mathworks.com/matlabcentral/fileexchange/37197-dem-diffused-expectation-maximisation-for-image-segmentation or similar. But even that won't be perfect. I suggest you use ginput or roipoly to manually locate them (unless you have thousands of images).