After using Edging and morphological operation i got the following Image. how can i now extract the number plate region. image is attached.

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);

Answer 1

[Image Analyst]

Fill the regions with imfill(). Then call bwareafilt(bw, 1) to extract the largest blob. Erode if a bit to get inside the outer rectangular edge, and use it as a mask on the initial binary image.

[Ayaz Wazir]

i want to extract the whole image i mean "AUD-550" but the suggested method only extract the "D". if you write your thoughts in code, i will be thankful to you

[Image Analyst]

Then your rectangle is not closed. Try imclose to close it then do it.

mask = imclose(mask, true(5));
mask = imfill(mask, 'holes');
mask = bwareafilt(mask, 1); % Take largest.
% Erode
mask = imerode(mask, true(15));
% Mask the image using bsxfun() function
maskedRgbImage = bsxfun(@times, rgbImage, cast(mask, 'like', rgbImage));

[Ayaz Wazir]

rgbImage=imread('n4.jpg'); k=rgb2gray(rgbImage); figure, imshow(k),title('Gray Image'); im=imresize(k, [400, NaN]); figure, imshow(im),title('Resized Image'); se=strel('disk',1); im2=imerode(im,se); figure, imshow(im2),title('Erosion'); im3=imdilate(im2,se); figure, imshow(im3),title('Dilation'); im4=imsubtract(im3,im2); figure, imshow(im4),title('Subtracted Image'); I=graythresh(im4); im6=im2bw(im4,I); figure, imshow(im5),title('Bimary Image');im7=bwareaopen(im6,50); figure, imshow(im7),title('Area_Open'); mask = imclose(im7, true(5)); figure,imshow(mask),title('Mask1'); mask = imfill(mask, 'holes'); figure,imshow(mask),title('Mask2'); mask = bwareafilt(mask, 1); % Take largest. figure,imshow(mask),title('Mask3'); % Erode mask = imerode(mask, true(15)); figure,imshow(mask),title('Mask4'); % Mask the image using bsxfun() function maskedRgbImage = bsxfun(@times, rgbImage, cast(mask, class( rgbImage))); i have got the out image attached.but in the last line i get an error.

[Ayaz Wazir]

my original image is