Re: Get border pixels of labelled region
Click here to Reply or Forward Why this ad?Ads – Best CTET Coaching Delhi<http://www.googleadservices.com/pagead/aclk?sa=L&ai=CXWpUwCYwUq__JrOoiga6x4DADcq015wEwui08Wroh4WeCxABIIaPgAIoCVCt0Lyf_f____8BYOXC5IOkDqABxuuz3APIAQGpAumgZ19u1FA-qAMBqgSTAU_Qnp2E2GJr0fcajxMcukVZnbotSbWFWxwOXtSE4t33vuifDN6IgHJAZ7dLXLf2P7ge5BOepm3w6QUSpGaMwCOScvKTfvdviwzyoXexvzsDoXg9E8eK22c2gvXFvYJyMmTHGHIg5I8506NtwrqiIVU0g3PzNEykJk5AOe3-sQzy5F8PqPP4mK2ggG_z1HJDMZJM94AHopTMIw&num=1&sig=AOD64_1aZyWne7MYsFcwPckESFx7AA0Gpw&adurl=http://successmantraclasses.in/ctet> Classroom Coaching by Experts with Study Material & Mock Tests. Apply successmantraclasses.in/Laxmi_Nagar<http://www.googleadservices.com/pagead/aclk?sa=L&ai=CXWpUwCYwUq__JrOoiga6x4DADcq015wEwui08Wroh4WeCxABIIaPgAIoCVCt0Lyf_f____8BYOXC5IOkDqABxuuz3APIAQGpAumgZ19u1FA-qAMBqgSTAU_Qnp2E2GJr0fcajxMcukVZnbotSbWFWxwOXtSE4t33vuifDN6IgHJAZ7dLXLf2P7ge5BOepm3w6QUSpGaMwCOScvKTfvdviwzyoXexvzsDoXg9E8eK22c2gvXFvYJyMmTHGHIg5I8506NtwrqiIVU0g3PzNEykJk5AOe3-sQzy5F8PqPP4mK2ggG_z1HJDMZJM94AHopTMIw&num=1&sig=AOD64_1aZyWne7MYsFcwPckESFx7AA0Gpw&adurl=http://successmantraclasses.in/ctet> 2.15 GB (14%) of 15 GB used Manage <https://accounts.google.com/b/0/ManageStorage?hl=en> ©2013 Google - Terms & Privacy <http://mail.google.com/mail/help/terms.html> Last account activity: 41 minutes ago Details scikit-image Add to circles Show details Ads Download Android Apps<http://www.googleadservices.com/pagead/aclk?sa=L&ai=CBT-ZwCYwUq__JrOoiga6x4DADbrljvQDqsuRhWvEpoHdIhACIIaPgAIoCVDx0vae_P____8BYOXC5IOkDqAB_pOi2APIAQGpAumgZ19u1FA-qAMBqgSWAU_QroqH22Jo0fcajxMcukVZnbotSbWFWxwOXtSE4t33vuifDN6IgHJAZ7dLXLf2P7ge5BOepm3w6QUSpGaMwCOScvKTfvdviwzyoXexvzsDoXg9E8eK22c2gvXFvYJyMmTHGHIo5FttdhwGbp2KIYLZaK032LpmIrtDfRj99fnx5KoMqAb7mFijgIrw1IJF0_OOPmkyXoAH6uvdJw&num=2&sig=AOD64_1VgjDRr2ZlpsgDPiGMDL2SOFow1A&adurl=http://mobogenie.com/android-apps/gdn.html> Largest Collection of Android Apps. Save Data Cost. Try Mobogenie Now! MoboGenie.com/Download-Android-Apps<http://www.googleadservices.com/pagead/aclk?sa=L&ai=CBT-ZwCYwUq__JrOoiga6x4DADbrljvQDqsuRhWvEpoHdIhACIIaPgAIoCVDx0vae_P____8BYOXC5IOkDqAB_pOi2APIAQGpAumgZ19u1FA-qAMBqgSWAU_QroqH22Jo0fcajxMcukVZnbotSbWFWxwOXtSE4t33vuifDN6IgHJAZ7dLXLf2P7ge5BOepm3w6QUSpGaMwCOScvKTfvdviwzyoXexvzsDoXg9E8eK22c2gvXFvYJyMmTHGHIo5FttdhwGbp2KIYLZaK032LpmIrtDfRj99fnx5KoMqAb7mFijgIrw1IJF0_OOPmkyXoAH6uvdJw&num=2&sig=AOD64_1VgjDRr2ZlpsgDPiGMDL2SOFow1A&adurl=http://mobogenie.com/android-apps/gdn.html> Tata Housing Premium Home<http://www.googleadservices.com/pagead/aclk?sa=L&ai=CvoySwCYwUq__JrOoiga6x4DADd_Pta8D18mgmVLAjbcBEAMgho-AAigJUNiToThg5cLkg6QOoAH506DeA8gBAakC6aBnX27UUD6oAwGqBJABT9DO__raYmnR9xqPExy6RVmdui1JtYVbHA5e1ITi3fe-6J8M3oiAckBnt0tct_Y_uB7kE56mbfDpBRKkZozAI5Jy8pN-92-LDPKhd7G_OwOheD0Tx4rbZzaC9cW9gnIyZI8YjGRLemV3nEXCbU_Ki_BvhTEwuadiu0N9GP2x-fHkqgyoBvuYSKOAn_VzWZPxgAfvq98h&num=3&sig=AOD64_0If6ih6Yqk2VxjHN3yqxre9guk2A&adurl=http://projects.tatahousing.in/ariana/index.php> Ariana,Bhubneswar Prosperity in the Canopy of Nature
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:* [array([[ 135. , 72.9 ], [ 134. , 72.9 ], [ 133. , 72.9 ], ..., [ 1. , 21.52941176], [ 0.47058824, 21. ], [ 0. , 20.9 ]]), array([[ 0. , 104.35137034], [ 1. , 104.35137034], [ 1.64862966, 105. ], [ 2. , 105.1 ], [ 3. , 105.35137034], [ 3.1 , 105. ], [ 3.1 , 104. ], [ 3.1 , 103. ], [ 4. , 102.1 ], [ 4.1 , 102. ], [ 5. , 101.1 ], [ 5.9 , 102. ], [ 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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_segmentati... http://scikit-image.org/docs/dev/auto_examples/plot_watershed.html
http://scikit-image.org/docs/dev/auto_examples/applications/plot_coins_segme...
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@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@sun.ac.za>wrote:
On 3 Sep 2013 11:45, "Payal Gupta" <erpayal2010@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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Payal Gupta