MATLAB: Object recognition in binary Image

digital image processingimage processingMATLAB

Hello,

the image attached is the binary version of my image. I want to detect the white part, as well as the black parts (in the white), which are holes in the white part and therefore represent the background in the binary image.

Can someone help me how to get the black areas in the White part and measure them or get their mean intensity.

Thank you very much!

Best Answer

Hi Florian,

you can simply take out the black areas from the image by thresholding pixels values. Below is reference code for you to get headstart.

threshold = 50; % May need to change it, do experiment on this value and find the best suit for you.
imgThreshold = img < threshold;

The image imgThreshold will segment out the black portion and now you can find the mean intensity by simply using the mean function.

meanPixel = mean(imgThreshold);

I hope this gets you enough headstart to explore.

Cheers

Related Solutions

MATLAB: How can i remove the black color from inside the white curve boundary

Use imfill with the 'holes' option.

    % read the image
    im = imread('http://www.mathworks.com/matlabcentral/answers/uploaded_files/8143/ar1.jpg');
    % binarize it
    bw = rgb2gray(im)>100;
    % fill holes
    out = imfill(bw,'holes');
    % display image
    imshow(out);

MATLAB: Centroid of an image

Threshold the image into black and white, and then call regionprops on the black and white image to get the centroid property.

Note: if the black part is your information and the white part is background, then call regionprops on the logical negation of your black and white image,

regionprops(~BW,'centroid')  %or something similar

Best Answer

Related Solutions

MATLAB: How can i remove the black color from inside the white curve boundary

MATLAB: Centroid of an image

Related Question