Ayaz Wazir

University of Science and Technology Bannu

Active since 2017

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MSCS Student at University of Science and Technology Bannu
Birth Place: North Wazirstan Agency
Area of Interest: Computer Vision and Networks

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Extraction of rectangular blob from binary image
i have a binary image having many blobs of different shapes. the one blob is full rectangle. now i want to extract the rectangul...

8 years ago | 2 answers | 0

2

answers

Question

Hello Dears, i want matlab code for completing the thin border of the number plate to apply imfill function
i want matlab code for completing the thin border of the number plate to apply imfill function to fill the number plate area. t...

8 years ago | 1 answer | 0

1

answer

Question

How can i remove the thin lines from my binary image. i need a code in matlab
i want to remove the thin lines to easily extract the number plate area. the image is attached. <</matlabcentral/answers/uplo...

8 years ago | 1 answer | 0

1

answer

Question

license plate characters recognition in matlab
i have segmented the characters of license plate. Now i want to write code to recognize and matched the characters with the alre...

8 years ago | 1 answer | 0

1

answer

Question

i have extracted the number plate from a car, now how can i segment the characters . Need some code. image is attached.
I have extracted the number plate from a car. Now, how can I segment the characters? I need some code. The image is attached. ...

9 years ago | 3 answers | 0

3

answers

Question

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('dis...

9 years ago | 1 answer | 0

1

answer

Question

How can i calculate vertical histogram. I took a code from somewhere which works for Horizontal processing but how i change it to work for vertical processing. The code is below
img=rgb2gray(imread('n3.jpg')); [rows,cols] = size(img); img2 = zeros(rows,cols); %Calculated the gradients fo...

9 years ago | 1 answer | 0

1

answer