Get border pixels of labelled region
Payal Gupta
erpayal2010 at gmail.com
Wed Sep 11 12:58:45 EDT 2013
hello...
i m also use this prog to count white pixel and black pixel bt i cant save
an image and cant count the pixel.
can you help me.
from skimage import measure
from numpy import array
import skimage.io as io
from skimage import data_dir
from skimage.data import coins,camera
import matplotlib.pyplot as plt
import skimage.color as color
from skimage.data import camera
from skimage.filter import canny, sobel
import Image
from skimage import data,filter
image = io.imread("IMG_1.jpg")
thresh = filter.threshold_otsu(image)
binary = image > thresh
imag= color.colorconv.rgb2grey(binary)
img = array(imag)
print img
x = np.array((255, 255))
x = np.array((255, 255), dtype=np.uint8)
#x[:] = np.arange(255)
io.imsave('imag.png', x)
#im = Image.open()
white_points = 0
black_points=0
for row in range(0,244):
for col in range(0, 461):
if(img(row,col)==1):
white_points = white_points+1
else:
black_points = black_points+1
print white_points
On Wed, Sep 11, 2013 at 1:49 PM, Payal Gupta <erpayal2010 at gmail.com> wrote:
> hello everyone...
> i used find_contour function which returns a 2D ndarray . i can't
> understand the return array so any body help me.
> *program :*
>
> image = io.imread("IMG_2.jpg")
>
> thresh = filter.threshold_otsu(image)
>
> binary = image > thresh
>
> imag= color.colorconv.rgb2grey(binary)
>
> img = array(imag)
>
> edge_canny = canny(img)
>
> edge_sobel = sobel(img)
>
> contours = measure.find_contours(imag,0.9,'high')
>
> print contours
>
> fig, (ax0, ax1) = plt.subplots(ncols=2)
>
> ax0.imshow(imag ,cmap=plt.cm.gray)
>
> ax0.set_title('Roberts Edge Detection')
>
> ax0.axis('off')
>
> ax1.imshow(edge_canny, cmap=plt.cm.gray)
>
> ax1.set_title('Sobel Edge Detection')
>
> ax1.axis('off')
>
>
> *returns array:*
>
>
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> >>>
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> On Thu, Sep 5, 2013 at 12:19 PM, Juan Nunez-Iglesias <jni.soma at gmail.com>wrote:
>
>> Hi Payal,
>>
>> I think you're misunderstanding the purpose of "find_boundaries"... Not
>> quite your fault since the documentation is pretty sparse there.
>>
>> I'll use my favourite fuzzball as an example:
>>
>> [image: Inline image 1]
>>
>> "find_boundaries" is meant to take in a segmentation, which is an image
>> in which each region has a different integer label, like this one:
>>
>> [image: Inline image 2]
>>
>> Then, find_boundaries merely looks for pixels where the neighbouring
>> labels are different:
>>
>> [image: Inline image 3]
>>
>> It's not doing any edge detection per se, it's just a tool for displaying
>> segmentations when it is easier to look at edges than at regions (above). I
>> think what you are after is edge detection? Maybe an image like this one:
>>
>> [image: Inline image 4]
>> ?
>>
>> For that, you should directly use the edge detection algorithms, such as
>> Sobel or Canny, without previously thresholding your image. Have a close
>> look at the examples gallery to figure out if any are close to what you are
>> after, and try to apply the code there to your own image:
>>
>> http://scikit-image.org/docs/dev/auto_examples/
>>
>> Some of the more pertinent ones, I think:
>> http://scikit-image.org/docs/dev/auto_examples/plot_canny.html
>> http://scikit-image.org/docs/dev/auto_examples/plot_edge_filter.html
>>
>> http://scikit-image.org/docs/dev/auto_examples/plot_join_segmentations.html
>> http://scikit-image.org/docs/dev/auto_examples/plot_label.html
>> http://scikit-image.org/docs/dev/auto_examples/plot_marked_watershed.html
>>
>> http://scikit-image.org/docs/dev/auto_examples/plot_random_walker_segmentation.html
>> http://scikit-image.org/docs/dev/auto_examples/plot_watershed.html
>>
>> http://scikit-image.org/docs/dev/auto_examples/applications/plot_coins_segmentation.html
>>
>> Note that in the edge detection examples, Canny/Sobel is applied to the
>> image *before* any thresholding — unlike the example code you provided.
>>
>> Juan.
>>
>>
>> On Wed, Sep 4, 2013 at 5:31 PM, Payal Gupta <erpayal2010 at gmail.com>wrote:
>>
>>> hello everyone...
>>> i will try this code,in this i want to do read a image then do edge
>>> detection after that find the boundaries of image object. but
>>> find_boundaries return me a bool array but i need a integer array. is it
>>> any solution of this.
>>>
>>>
>>> code::
>>>
>>> import Image
>>>
>>> from skimage import segmentation as seg,io,filter
>>>
>>> imge = io.imread("IMG_1.jpg")
>>>
>>> thresh = filter.threshold_otsu(imge)
>>>
>>> binary = imge> thresh
>>>
>>> edge_canny = filter.canny(binary)
>>>
>>> bimg =seg.find_boundaries(binary)
>>>
>>> print(bimg)
>>>
>>> fig, (ax0, ax1) = plt.subplots(ncols=2)
>>>
>>> ax0.imshow(bimg,cmap=plt.cm.gray)
>>> ax1.imshow(binary,cmap=plt.cm.gray)
>>>
>>>
>>> On Tue, Sep 3, 2013 at 7:42 PM, Stéfan van der Walt <stefan at sun.ac.za>wrote:
>>>
>>>>
>>>> On 3 Sep 2013 11:45, "Payal Gupta" <erpayal2010 at gmail.com> wrote:
>>>> >
>>>> > thanks it working but i confused when i use function of skimage
>>>> library. i want to change rgb image to a graylevel image but inbuilt
>>>> function rgb2gray not convert gray level image.
>>>> > reply.
>>>>
>>>> If you want help on this list, please provide code examples of what you
>>>> are attempting.
>>>>
>>>> Stéfan
>>>>
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>>>>
>>>
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