How can I extract the rectangular shapes form the binary images without using bwareaopen function?

Question

Javid Hamdard 2021-2-28

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编辑： Javid Hamdard 2021-3-7

Hello every one,

Could you please help me, how to automatically extract the rectangular object in the following two images? I used bwareaopen function to remove small objects, but it sometimes removes the region of interest because the noisy objects are bigger than the number plate.

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Selva Karna 2021-3-4

编辑：Selva Karna 2021-3-4

function W = Classify(ImageRead)

RGB = imread('test.bmp');

figure,

imshow(RGB),

title('Original Image');

GRAY = rgb2gray(RGB);

figure,

imshow(GRAY),

title('Gray Image');

threshold = graythresh(GRAY);

BW = im2bw(GRAY, threshold);

figure,

imshow(BW),

title('Binary Image');

BW = ~ BW;

figure,

imshow(BW),

title('Inverted Binary Image');

[B,L] = bwboundaries(BW, 'noholes');

STATS = regionprops(L, 'all'); % we need 'BoundingBox' and 'Extent'

% Step 7: Classify Shapes according to properties

% Square = 3 = (1 + 2) = (X=Y + Extent = 1)

% Rectangular = 2 = (0 + 2) = (only Extent = 1)

% Circle = 1 = (1 + 0) = (X=Y , Extent < 1)

% UNKNOWN = 0

figure,

imshow(RGB),

title('Results');

hold on

for i = 1 : length(STATS)

W(i) = uint8(abs(STATS(i).BoundingBox(3)-STATS(i).BoundingBox(4)) < 0.1);

W(i) = W(i) + 2 * uint8((STATS(i).Extent - 1) == 0 );

centroid = STATS(i).Centroid;

switch W(i)

case 1

plot(centroid(1),centroid(2),'wO');

case 2

plot(centroid(1),centroid(2),'wX');

case 3

plot(centroid(1),centroid(2),'wS');

end

return

Selva Karna 2021-3-4

编辑：Selva Karna 2021-3-4

from Python Code;

Code :

Main code 1 :

import cv2

import numpy as np

import os

im = cv2.imread('input1.jpg')

imgray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)

ret, thresh = cv2.threshold(imgray, 220, 255, 0)

edges = cv2.Canny(thresh,150,180,apertureSize = 3)

ret, labels = cv2.connectedComponents(~thresh)

x=0

[m,n]=np.shape(thresh)

c=1

cwd = os.getcwd()

msk=np.zeros(np.shape(thresh))

while c

msk=np.zeros(np.shape(thresh))

msk[(labels==c)]=[255]

msk=np.array(msk,dtype=np.uint8)

msk_img=str(c)+'.jpg'

filename = os.path.join(cwd, msk_img)

cv2.imwrite(filename,msk)

c=c+1

print("Total Polygon Objects ", c)

Javid Hamdard 2021-3-4

Dear Selva Karna, thank you very much. I have applied the MATLAB code but still it dose not work.

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Answer 1

Keerthana Chiruvolu 2021-3-7

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Hi Javid,

One simple method would be to use the Image Segmenter App where you can draw the region of interest and extract it from the image.

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Javid Hamdard 2021-3-7

Dear Keerthana Chiruvolu, I think the Image Segmenter app will not solve the problem because my interest region will be in a different location. For example, the front or rear of the car or image may be taken from varying angles. Therefore, I look for a method that can automatically find the number plate area in the image.

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How can I extract the rectangular shapes form the binary images without using bwareaopen function?

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How can I extract the rectangular shapes form the binary images without using bwareaopen function?

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