Animal detection in thermal images

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S DIVYA MEENA 2019-2-18

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https://ww2.mathworks.cn/matlabcentral/answers/445647-animal-detection-in-thermal-images

评论： S DIVYA MEENA 2019-2-24

Hello everyone. I'm a newbie to MATLAB and I'm kinda struck with a project which detects the animals from the given thermal image.

The tasks are as follows:

Detect the animals and mark it with bounding boxes along with its temperature
Enhancing the image when the contrast is not so good (background and the animal are not distinguishable )

For the above task, can someone plz suggest the methods applicable for detection. So far, I have tried to pre-process the images by masking technique so that I can improve the contrast of the image.

clc;clear;close;
img = imread('C:\Users\DIVYA MEENA\Desktop\1 (79).jpg');
img_gray = rgb2gray(img);
BW = imbinarize(img_gray);
maskedRgbImage = bsxfun(@times, img, cast(BW, 'like', img));
imshow(maskedRgbImage)

However, the above code dint help much.

Any help will be highly appreciated, Thanks in advance and sorry for the long question.

PS: I have attached my sample images.

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采纳的回答

Image Analyst 2019-2-18

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https://ww2.mathworks.cn/matlabcentral/answers/445647-animal-detection-in-thermal-images#answer_361612

It's best if you can get a background image with no animals in it, then subtract that from the frame with animals (possibly) in it. You'll need to determine this dynamically since the no-animals background image may change with time as the room changes temperature. So maybe you could check for a change, and if there has been no change for, say, 15 minutes, then declare that frame as a background image and subtract it from future frames.

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S DIVYA MEENA 2019-2-21

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Sir your code was very useful. Thank you.

By the way, I have one other issue. I found the following code to be applicable for my scenario.

I = imread('C:\Users\DIVYA MEENA\Desktop\c6.jpg');
I = rgb2gray(I);
whos I
range = [min(I(:)) max(I(:))]
figure
imshow(I,[])
colormap(gca,hot)
title('Original image')
smoothValue = 0.01*diff(range).^2;
J = imguidedfilter(I,'DegreeOfSmoothing',smoothValue);
figure
imshow(J,[])
colormap(gca,hot)
title('Guided filtered image')
thresh = multithresh(J,1)
L = imquantize(J,thresh);
L = imfill(L);
figure
imshow(label2rgb(L))
title('Label matrix from 3-level Otsu')
props = regionprops(L,I,{'Area','BoundingBox','MeanIntensity','Centroid'});
% Find the index of the background region.
[~,idx] = max([props.Area]);
figure
imshow(I,[])
colormap(gca,hot)
title('Segmented regions with mean temperature')
for n = 1:numel(props)
    % If the region is not background
    if n ~= idx
        % Draw bounding box around region
       rectangle('Position',props(n).BoundingBox,'EdgeColor','c')
       
       % Draw text displaying mean temperature in Celsius
       T = [num2str(props(n).MeanIntensity,3) ' \circ C'];
       text(props(n).Centroid(1),props(n).Centroid(2),T,...
           'Color','c','FontSize',12)
    end
end

Following figures are some of the output screenshots for the above code:

The above output is exactly what I expect. But I dont understand what that 125 C denotes? I wanted to know the body temperature of the animal that is detected within the bounding box. Does this mean, that dog has 125 C temperature? Too strange..!!

The input image captured by the Flir camera is given below.

From the above image (input), I guess that the body temperature of the dog is somewhere around 35 to 37C. Then why is the output image says it as 125 C.??

Can you plz clarify me on this sir??