Thanks YXDragon for quick reply. 1. Yes I have tried skeletonisation but hanged for further processing. hope the links u have sent will help to resolve. 2. Wow.. great. that is exactly I need and done partially. Can u pls explain the 1.jpg--->2.jpg--->3.jpg. I want exactly the same 3.jpg (junction points). Can i call imagepy in my python script and get the o/p of it for further processing? 3. Is it possible to convert directly image to graph data structure? On Thu, May 18, 2017 at 10:42 AM, <imagepy@sina.com> wrote:

1. you can do a skeleton, then use a np.ones((3,3)) to convolve. then 3 means junction, one means termin. 2 means path. 2. trace from a termin. iterate all the pixel > 0. and add node if != 2!

some tips: 1. if you do skeleton straightly, you will get some small branch, you can remove them by graph analysis. but I have a tip, you can do a gauss blur, then threshold again. this will smooth the binary image. 2. trace the path is not very simple, you need care many detail... you can look mine. <https://github.com/yxdragon/imagepy/blob/master/core/graph/builder.py> 3. the scikit-image's skeleton method prefers to generate branch (sometimes we want, but here we need not), you can look here <https://github.com/scikit-image/scikit-image/issues/2550>.

you can have a try my project imagery <https://github.com/yxdragon/imagepy> do some test. which can wrap scikit-image like photoshop! (but I do not know if scikit-image has a method to build the skeleton)

My English is solo, forgive me. YXDragon - ImagePy --------------------------------

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发件人:Leena Chourey

时 间:2017年5月18日 12:05(星期四)

收件人:scikit-image@python.org

主题:[scikit-image] Need help to get graph from image

Dear All,

I need to convert shape based image(graph_search2.jpg) into graph and then graph data structure. I have tried to filter the image and then with threshold, contour based approach access shapes(nodes), lines(edges) and arrows. but facing difficulty in getting relation b/w nodes and edges. Please help to find interest point(interest_points.jpg) and relation in node n edges.

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Thanks & Regards, -धन्यवाद

Leena Chourey , लीना चौरे

C-DAC Mumbai सी-डैक, मुम्बई

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-- Thanks & Regards, -धन्यवाद Leena Chourey , लीना चौरे C-DAC Mumbai सी-डैक, मुम्बई