How to count how often a particular pattern repeats in an image
1
I have an image with multiple micro-QR codes. I want to count the number of micro-QR codes present in the image. I extracted the pattern of squares from single micro-QR (specifically called the location detection pattern). With the help of this pattern I want to count the micro-QRs in my image. Following is the code to convert a single QR code image to a matrix.
import cv2
import PIL
import numpy
img = PIL.Image.open(path_of_the_image).convert("L")
imgarr = numpy.array(img)
imgarr1 = numpy.ndarray.flatten(imgarr)
print(imgarr)
this is the smaller reference matrix through which I want to count the micro-QR code in larger image.
255 255 255 255 255 255 255 255 255
255 0 0 0 0 0 0 0 255
255 0 255 255 255 255 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 255 255 255 255 0 255
255 0 0 0 0 0 0 0 255
255 255 255 255 255 255 255 255 255
python numpy image-processing matrix
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
asked Nov 13 at 5:41
sharayu salunkhe
223
add a comment |
1
I have an image with multiple micro-QR codes. I want to count the number of micro-QR codes present in the image. I extracted the pattern of squares from single micro-QR (specifically called the location detection pattern). With the help of this pattern I want to count the micro-QRs in my image. Following is the code to convert a single QR code image to a matrix.
import cv2
import PIL
import numpy
img = PIL.Image.open(path_of_the_image).convert("L")
imgarr = numpy.array(img)
imgarr1 = numpy.ndarray.flatten(imgarr)
print(imgarr)
this is the smaller reference matrix through which I want to count the micro-QR code in larger image.
255 255 255 255 255 255 255 255 255
255 0 0 0 0 0 0 0 255
255 0 255 255 255 255 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 255 255 255 255 0 255
255 0 0 0 0 0 0 0 255
255 255 255 255 255 255 255 255 255
python numpy image-processing matrix
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
asked Nov 13 at 5:41
sharayu salunkhe
223
This should help -How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?.
– Divakar
Nov 13 at 5:45
Assuming the micro-QR codes are all the same size, exactly, in pixels, then you can take this detection pattern and compute a cross-correlation with the image. Points of high cross-correlation will be points where this pattern is located.
– Cris Luengo
Nov 13 at 5:45
3 questions... 1) is your image a noise-free PNG, or a nasty scanned JPEG? 2) are the other micro-QR codes identical, or just similar insofar as they are also QR codes but for different things? 3) what's in the rest of the image - just white with other QR codes? Or patterns, text, photos?
– Mark Setchell
Nov 13 at 7:51
Possible duplicate of How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?
– AndyK
Nov 13 at 10:38
@MarkSetchell my image contains noise. all the micro qr codes are not identical. the rest of the image contain non white background as well. while the microqr codes are black and white with bit noise
– sharayu salunkhe
Nov 14 at 6:11
add a comment |
1
1
1
I have an image with multiple micro-QR codes. I want to count the number of micro-QR codes present in the image. I extracted the pattern of squares from single micro-QR (specifically called the location detection pattern). With the help of this pattern I want to count the micro-QRs in my image. Following is the code to convert a single QR code image to a matrix.
import cv2
import PIL
import numpy
img = PIL.Image.open(path_of_the_image).convert("L")
imgarr = numpy.array(img)
imgarr1 = numpy.ndarray.flatten(imgarr)
print(imgarr)
this is the smaller reference matrix through which I want to count the micro-QR code in larger image.
255 255 255 255 255 255 255 255 255
255 0 0 0 0 0 0 0 255
255 0 255 255 255 255 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 255 255 255 255 0 255
255 0 0 0 0 0 0 0 255
255 255 255 255 255 255 255 255 255
python numpy image-processing matrix
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
asked Nov 13 at 5:41
sharayu salunkhe
223
I have an image with multiple micro-QR codes. I want to count the number of micro-QR codes present in the image. I extracted the pattern of squares from single micro-QR (specifically called the location detection pattern). With the help of this pattern I want to count the micro-QRs in my image. Following is the code to convert a single QR code image to a matrix.
import cv2
import PIL
import numpy
img = PIL.Image.open(path_of_the_image).convert("L")
imgarr = numpy.array(img)
imgarr1 = numpy.ndarray.flatten(imgarr)
print(imgarr)
this is the smaller reference matrix through which I want to count the micro-QR code in larger image.
255 255 255 255 255 255 255 255 255
255 0 0 0 0 0 0 0 255
255 0 255 255 255 255 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 0 0 0 255 0 255
255 0 255 255 255 255 255 0 255
255 0 0 0 0 0 0 0 255
255 255 255 255 255 255 255 255 255
python numpy image-processing matrix
python numpy image-processing matrix
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
asked Nov 13 at 5:41
sharayu salunkhe
223
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
asked Nov 13 at 5:41
sharayu salunkhe
223
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
edited Nov 13 at 5:44
Cris Luengo
18.4k51947
18.4k51947
asked Nov 13 at 5:41
sharayu salunkhe
223
asked Nov 13 at 5:41
sharayu salunkhe
223
asked Nov 13 at 5:41
sharayu salunkhe
223
223
This should help -How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?.
– Divakar
Nov 13 at 5:45
Assuming the micro-QR codes are all the same size, exactly, in pixels, then you can take this detection pattern and compute a cross-correlation with the image. Points of high cross-correlation will be points where this pattern is located.
– Cris Luengo
Nov 13 at 5:45
3 questions... 1) is your image a noise-free PNG, or a nasty scanned JPEG? 2) are the other micro-QR codes identical, or just similar insofar as they are also QR codes but for different things? 3) what's in the rest of the image - just white with other QR codes? Or patterns, text, photos?
– Mark Setchell
Nov 13 at 7:51
Possible duplicate of How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?
– AndyK
Nov 13 at 10:38
@MarkSetchell my image contains noise. all the micro qr codes are not identical. the rest of the image contain non white background as well. while the microqr codes are black and white with bit noise
– sharayu salunkhe
Nov 14 at 6:11
add a comment |
This should help -How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?.
– Divakar
Nov 13 at 5:45
Assuming the micro-QR codes are all the same size, exactly, in pixels, then you can take this detection pattern and compute a cross-correlation with the image. Points of high cross-correlation will be points where this pattern is located.
– Cris Luengo
Nov 13 at 5:45
3 questions... 1) is your image a noise-free PNG, or a nasty scanned JPEG? 2) are the other micro-QR codes identical, or just similar insofar as they are also QR codes but for different things? 3) what's in the rest of the image - just white with other QR codes? Or patterns, text, photos?
– Mark Setchell
Nov 13 at 7:51
Possible duplicate of How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?
– AndyK
Nov 13 at 10:38
@MarkSetchell my image contains noise. all the micro qr codes are not identical. the rest of the image contain non white background as well. while the microqr codes are black and white with bit noise
– sharayu salunkhe
Nov 14 at 6:11
This should help -
How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?.– Divakar
Nov 13 at 5:45
This should help -
How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?.– Divakar
Nov 13 at 5:45
Assuming the micro-QR codes are all the same size, exactly, in pixels, then you can take this detection pattern and compute a cross-correlation with the image. Points of high cross-correlation will be points where this pattern is located.
– Cris Luengo
Nov 13 at 5:45
Assuming the micro-QR codes are all the same size, exactly, in pixels, then you can take this detection pattern and compute a cross-correlation with the image. Points of high cross-correlation will be points where this pattern is located.
– Cris Luengo
Nov 13 at 5:45
3 questions... 1) is your image a noise-free PNG, or a nasty scanned JPEG? 2) are the other micro-QR codes identical, or just similar insofar as they are also QR codes but for different things? 3) what's in the rest of the image - just white with other QR codes? Or patterns, text, photos?
– Mark Setchell
Nov 13 at 7:51
3 questions... 1) is your image a noise-free PNG, or a nasty scanned JPEG? 2) are the other micro-QR codes identical, or just similar insofar as they are also QR codes but for different things? 3) what's in the rest of the image - just white with other QR codes? Or patterns, text, photos?
– Mark Setchell
Nov 13 at 7:51
Possible duplicate of How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?
– AndyK
Nov 13 at 10:38
Possible duplicate of How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?
– AndyK
Nov 13 at 10:38
@MarkSetchell my image contains noise. all the micro qr codes are not identical. the rest of the image contain non white background as well. while the microqr codes are black and white with bit noise
– sharayu salunkhe
Nov 14 at 6:11
@MarkSetchell my image contains noise. all the micro qr codes are not identical. the rest of the image contain non white background as well. while the microqr codes are black and white with bit noise
– sharayu salunkhe
Nov 14 at 6:11
add a comment |
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This should help -
How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?.– Divakar
Nov 13 at 5:45
Assuming the micro-QR codes are all the same size, exactly, in pixels, then you can take this detection pattern and compute a cross-correlation with the image. Points of high cross-correlation will be points where this pattern is located.
– Cris Luengo
Nov 13 at 5:45
3 questions... 1) is your image a noise-free PNG, or a nasty scanned JPEG? 2) are the other micro-QR codes identical, or just similar insofar as they are also QR codes but for different things? 3) what's in the rest of the image - just white with other QR codes? Or patterns, text, photos?
– Mark Setchell
Nov 13 at 7:51
Possible duplicate of How can I check if one two-dimensional NumPy array contains a specific pattern of values inside it?
– AndyK
Nov 13 at 10:38
@MarkSetchell my image contains noise. all the micro qr codes are not identical. the rest of the image contain non white background as well. while the microqr codes are black and white with bit noise
– sharayu salunkhe
Nov 14 at 6:11