Summary of lists of coordinates












2















I need to analyze a list of coordinates. The program should "summarize" the list.



from PIL import Image
im = Image.open('map.png')
rgb_im = im.convert('RGB')
l =
x = 0
y = 0

for y in range(im.size[1]):
for x in range(im.size[0]):
if sum(rgb_im.getpixel((x, y))) == 0:
a = [x, y]
l.append(a)


This generates a list of the coordinates of all black pixels from an image with several black rectangles on a white surface. The output is something like this:



[[599, 257], [600, 257], [601, 257], [602, 257], [603, 257], [604, 257], [605, 257], [606, 257], [599, 258], [600, 258], [601, 258], [602, 258], [603, 258], [604, 258], [605, 258], [606, 258], [599, 259], [600, 259], [601, 259], [602, 259], [603, 259], [604, 259], [605, 259], [606, 259], [599, 260], [600, 260], [601, 260], [602, 260], [603, 260], [604, 260], [605, 260], [606, 260], [599, 261], [600, 261], [601, 261], [602, 261], [603, 261], [604, 261], [605, 261], [606, 261], [599, 262], [600, 262], [601, 262], [602, 262], [603, 262], [604, 262], [605, 262], [606, 262], [599, 263], [600, 263], [601, 263], [602, 263], [603, 263], [604, 263], [605, 263], [606, 263], [622, 286], [623, 286], [624, 286], [625, 286], [626, 286], [627, 286], [622, 287], [623, 287], [624, 287], [625, 287], [626, 287], [627, 287], [622, 288], [623, 288], [624, 288], [625, 288], [626, 288], [627, 288], [622, 289], [623, 289], [624, 289], [625, 289], [626, 289], [627, 289], [622, 290], [623, 290], [624, 290], [625, 290], [626, 290], [627, 290], [622, 291], [623, 291], [624, 291], [625, 291], [626, 291], [627, 291]]


The "summaries" should be information about the black rectangles. The output should be: [x-coordinate, y-coordinate, length, height] for each rectangle, which requires the coordinates of the origin.



In this case: [[599, 257, 8, 7], [622, 287, 6, 6]]



I don't know if I should work with arrays or matrices or something completely different. I'm open to ideas. The important part is to get that information from these kind of images.



Thank you all in advance!










share|improve this question

























  • Looks like a neat problem, just to clarify on the language by length and high do you mean width and height? Also, they don't count the same row/column of the x/y-coordinates? [599, 257, 7, 6] implies 7 • 6 = 42 pixels, but you seem to be covering 56 pixels with that particular group.

    – TrebuchetMS
    Nov 28 '18 at 4:52













  • You may want to look up floodfill. It may be a potential algorithm here.

    – TrebuchetMS
    Nov 28 '18 at 5:03













  • The adjective to rectangle is rectangular. I leave to you to look up what you used instead.

    – Mr. T
    Nov 28 '18 at 6:32











  • i could not solve the problem yet. but thanks

    – tintin
    Nov 29 '18 at 16:50
















2















I need to analyze a list of coordinates. The program should "summarize" the list.



from PIL import Image
im = Image.open('map.png')
rgb_im = im.convert('RGB')
l =
x = 0
y = 0

for y in range(im.size[1]):
for x in range(im.size[0]):
if sum(rgb_im.getpixel((x, y))) == 0:
a = [x, y]
l.append(a)


This generates a list of the coordinates of all black pixels from an image with several black rectangles on a white surface. The output is something like this:



[[599, 257], [600, 257], [601, 257], [602, 257], [603, 257], [604, 257], [605, 257], [606, 257], [599, 258], [600, 258], [601, 258], [602, 258], [603, 258], [604, 258], [605, 258], [606, 258], [599, 259], [600, 259], [601, 259], [602, 259], [603, 259], [604, 259], [605, 259], [606, 259], [599, 260], [600, 260], [601, 260], [602, 260], [603, 260], [604, 260], [605, 260], [606, 260], [599, 261], [600, 261], [601, 261], [602, 261], [603, 261], [604, 261], [605, 261], [606, 261], [599, 262], [600, 262], [601, 262], [602, 262], [603, 262], [604, 262], [605, 262], [606, 262], [599, 263], [600, 263], [601, 263], [602, 263], [603, 263], [604, 263], [605, 263], [606, 263], [622, 286], [623, 286], [624, 286], [625, 286], [626, 286], [627, 286], [622, 287], [623, 287], [624, 287], [625, 287], [626, 287], [627, 287], [622, 288], [623, 288], [624, 288], [625, 288], [626, 288], [627, 288], [622, 289], [623, 289], [624, 289], [625, 289], [626, 289], [627, 289], [622, 290], [623, 290], [624, 290], [625, 290], [626, 290], [627, 290], [622, 291], [623, 291], [624, 291], [625, 291], [626, 291], [627, 291]]


The "summaries" should be information about the black rectangles. The output should be: [x-coordinate, y-coordinate, length, height] for each rectangle, which requires the coordinates of the origin.



In this case: [[599, 257, 8, 7], [622, 287, 6, 6]]



I don't know if I should work with arrays or matrices or something completely different. I'm open to ideas. The important part is to get that information from these kind of images.



Thank you all in advance!










share|improve this question

























  • Looks like a neat problem, just to clarify on the language by length and high do you mean width and height? Also, they don't count the same row/column of the x/y-coordinates? [599, 257, 7, 6] implies 7 • 6 = 42 pixels, but you seem to be covering 56 pixels with that particular group.

    – TrebuchetMS
    Nov 28 '18 at 4:52













  • You may want to look up floodfill. It may be a potential algorithm here.

    – TrebuchetMS
    Nov 28 '18 at 5:03













  • The adjective to rectangle is rectangular. I leave to you to look up what you used instead.

    – Mr. T
    Nov 28 '18 at 6:32











  • i could not solve the problem yet. but thanks

    – tintin
    Nov 29 '18 at 16:50














2












2








2








I need to analyze a list of coordinates. The program should "summarize" the list.



from PIL import Image
im = Image.open('map.png')
rgb_im = im.convert('RGB')
l =
x = 0
y = 0

for y in range(im.size[1]):
for x in range(im.size[0]):
if sum(rgb_im.getpixel((x, y))) == 0:
a = [x, y]
l.append(a)


This generates a list of the coordinates of all black pixels from an image with several black rectangles on a white surface. The output is something like this:



[[599, 257], [600, 257], [601, 257], [602, 257], [603, 257], [604, 257], [605, 257], [606, 257], [599, 258], [600, 258], [601, 258], [602, 258], [603, 258], [604, 258], [605, 258], [606, 258], [599, 259], [600, 259], [601, 259], [602, 259], [603, 259], [604, 259], [605, 259], [606, 259], [599, 260], [600, 260], [601, 260], [602, 260], [603, 260], [604, 260], [605, 260], [606, 260], [599, 261], [600, 261], [601, 261], [602, 261], [603, 261], [604, 261], [605, 261], [606, 261], [599, 262], [600, 262], [601, 262], [602, 262], [603, 262], [604, 262], [605, 262], [606, 262], [599, 263], [600, 263], [601, 263], [602, 263], [603, 263], [604, 263], [605, 263], [606, 263], [622, 286], [623, 286], [624, 286], [625, 286], [626, 286], [627, 286], [622, 287], [623, 287], [624, 287], [625, 287], [626, 287], [627, 287], [622, 288], [623, 288], [624, 288], [625, 288], [626, 288], [627, 288], [622, 289], [623, 289], [624, 289], [625, 289], [626, 289], [627, 289], [622, 290], [623, 290], [624, 290], [625, 290], [626, 290], [627, 290], [622, 291], [623, 291], [624, 291], [625, 291], [626, 291], [627, 291]]


The "summaries" should be information about the black rectangles. The output should be: [x-coordinate, y-coordinate, length, height] for each rectangle, which requires the coordinates of the origin.



In this case: [[599, 257, 8, 7], [622, 287, 6, 6]]



I don't know if I should work with arrays or matrices or something completely different. I'm open to ideas. The important part is to get that information from these kind of images.



Thank you all in advance!










share|improve this question
















I need to analyze a list of coordinates. The program should "summarize" the list.



from PIL import Image
im = Image.open('map.png')
rgb_im = im.convert('RGB')
l =
x = 0
y = 0

for y in range(im.size[1]):
for x in range(im.size[0]):
if sum(rgb_im.getpixel((x, y))) == 0:
a = [x, y]
l.append(a)


This generates a list of the coordinates of all black pixels from an image with several black rectangles on a white surface. The output is something like this:



[[599, 257], [600, 257], [601, 257], [602, 257], [603, 257], [604, 257], [605, 257], [606, 257], [599, 258], [600, 258], [601, 258], [602, 258], [603, 258], [604, 258], [605, 258], [606, 258], [599, 259], [600, 259], [601, 259], [602, 259], [603, 259], [604, 259], [605, 259], [606, 259], [599, 260], [600, 260], [601, 260], [602, 260], [603, 260], [604, 260], [605, 260], [606, 260], [599, 261], [600, 261], [601, 261], [602, 261], [603, 261], [604, 261], [605, 261], [606, 261], [599, 262], [600, 262], [601, 262], [602, 262], [603, 262], [604, 262], [605, 262], [606, 262], [599, 263], [600, 263], [601, 263], [602, 263], [603, 263], [604, 263], [605, 263], [606, 263], [622, 286], [623, 286], [624, 286], [625, 286], [626, 286], [627, 286], [622, 287], [623, 287], [624, 287], [625, 287], [626, 287], [627, 287], [622, 288], [623, 288], [624, 288], [625, 288], [626, 288], [627, 288], [622, 289], [623, 289], [624, 289], [625, 289], [626, 289], [627, 289], [622, 290], [623, 290], [624, 290], [625, 290], [626, 290], [627, 290], [622, 291], [623, 291], [624, 291], [625, 291], [626, 291], [627, 291]]


The "summaries" should be information about the black rectangles. The output should be: [x-coordinate, y-coordinate, length, height] for each rectangle, which requires the coordinates of the origin.



In this case: [[599, 257, 8, 7], [622, 287, 6, 6]]



I don't know if I should work with arrays or matrices or something completely different. I'm open to ideas. The important part is to get that information from these kind of images.



Thank you all in advance!







arrays python-3.x list coordinates shapes






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 29 '18 at 16:47







tintin

















asked Nov 28 '18 at 3:58









tintintintin

112




112













  • Looks like a neat problem, just to clarify on the language by length and high do you mean width and height? Also, they don't count the same row/column of the x/y-coordinates? [599, 257, 7, 6] implies 7 • 6 = 42 pixels, but you seem to be covering 56 pixels with that particular group.

    – TrebuchetMS
    Nov 28 '18 at 4:52













  • You may want to look up floodfill. It may be a potential algorithm here.

    – TrebuchetMS
    Nov 28 '18 at 5:03













  • The adjective to rectangle is rectangular. I leave to you to look up what you used instead.

    – Mr. T
    Nov 28 '18 at 6:32











  • i could not solve the problem yet. but thanks

    – tintin
    Nov 29 '18 at 16:50



















  • Looks like a neat problem, just to clarify on the language by length and high do you mean width and height? Also, they don't count the same row/column of the x/y-coordinates? [599, 257, 7, 6] implies 7 • 6 = 42 pixels, but you seem to be covering 56 pixels with that particular group.

    – TrebuchetMS
    Nov 28 '18 at 4:52













  • You may want to look up floodfill. It may be a potential algorithm here.

    – TrebuchetMS
    Nov 28 '18 at 5:03













  • The adjective to rectangle is rectangular. I leave to you to look up what you used instead.

    – Mr. T
    Nov 28 '18 at 6:32











  • i could not solve the problem yet. but thanks

    – tintin
    Nov 29 '18 at 16:50

















Looks like a neat problem, just to clarify on the language by length and high do you mean width and height? Also, they don't count the same row/column of the x/y-coordinates? [599, 257, 7, 6] implies 7 • 6 = 42 pixels, but you seem to be covering 56 pixels with that particular group.

– TrebuchetMS
Nov 28 '18 at 4:52







Looks like a neat problem, just to clarify on the language by length and high do you mean width and height? Also, they don't count the same row/column of the x/y-coordinates? [599, 257, 7, 6] implies 7 • 6 = 42 pixels, but you seem to be covering 56 pixels with that particular group.

– TrebuchetMS
Nov 28 '18 at 4:52















You may want to look up floodfill. It may be a potential algorithm here.

– TrebuchetMS
Nov 28 '18 at 5:03







You may want to look up floodfill. It may be a potential algorithm here.

– TrebuchetMS
Nov 28 '18 at 5:03















The adjective to rectangle is rectangular. I leave to you to look up what you used instead.

– Mr. T
Nov 28 '18 at 6:32





The adjective to rectangle is rectangular. I leave to you to look up what you used instead.

– Mr. T
Nov 28 '18 at 6:32













i could not solve the problem yet. but thanks

– tintin
Nov 29 '18 at 16:50





i could not solve the problem yet. but thanks

– tintin
Nov 29 '18 at 16:50












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