k=rgb2gray(imread('car3.jpg'));%figure, imshow(k);
im=imresize(k, [400, NaN]);%figure, imshow(im);
se=strel('disk',1);im2=imerode(im,se);%figure, imshow(im2);
im3=imdilate(im2,se);%figure, imshow(im3);
im4=imsubtract(im3,im2);%figure, imshow(im4);
I=graythresh(im4);im5=im2bw(im4,I);%figure, imshow(im5);
im6=imfill(im5,'holes');figure, imshow(im6);im7=bwareaopen(im6,100);figure, imshow(im7);MATLAB: After using Edging and morphological operation i got the following Image. how can i now extract the number plate region. image is attached.
Image Processing Toolboxroi extraction
Related Solutions
Use imerode.
From Matlab documentation:
IM2 = imerode(IM,SE) erodes the grayscale, binary, or packed binary image IM, returning the eroded image IM2. The argument SE is a structuring element object or array of structuring element objects returned by the strel function.
Example:
Erode a binary image with a disk structuring element.
originalBW = imread('circles.png'); se = strel('disk',11); erodedBW = imerode(originalBW,se);imshow(originalBW), figure, imshow(erodedBW)This is very easy with my delta E color difference demo : http://www.mathworks.com/matlabcentral/fileexchange/31118-color-segmentation-by-delta-e-color-difference
Tell it to read in your image and trace out some part of the blue background. The demo will give you the blue background as a mask. Your person mask is simply the inverse of the blue background mask. You might call imfill() to get rid of any little holes in the mask.
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