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Nov
5
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Nov
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Nov
5
comment Accessing the graph Thinning produces without losing all the edges' lengths/slopes
@Simon-Woods Thanks for the answer. Interesting idea.
Nov
5
comment Accessing the graph Thinning produces without losing all the edges' lengths/slopes
@amr I tried to use CornerFilter/EdgeDetect as an additional measure but it wasn't really working. HammingDistance might be a good additional measure to use but it needs a full graph representation (which one can't create from a picture with standard MMA functions as it seems). edit: Maybe unthinned image->MorphologicalGraph->HammingDistance is an idea for an additional measurement
Nov
4
revised How to plot population growth model?
made copy & paste into mma easier by removing In and Out prefixes
Nov
4
suggested suggested edit on How to plot population growth model?
Nov
2
awarded  Promoter
Oct
31
revised Accessing the graph Thinning produces without losing all the edges' lengths/slopes
Tried to make the question even easier to understand by including an explanatory image
Oct
31
awarded  Editor
Oct
31
revised Accessing the graph Thinning produces without losing all the edges' lengths/slopes
Made code more readable
Oct
31
asked Accessing the graph Thinning produces without losing all the edges' lengths/slopes
Oct
28
comment Why doesn't FindClusters find any clusters in this case?
@image_doctor No, there seems to be no indication as to how well the data could be fitted into clusters, which seems a bit strange.
Oct
27
comment Why doesn't FindClusters find any clusters in this case?
@belisarius I created a gist for the example: gist.github.com/3965569
Oct
27
comment Why doesn't FindClusters find any clusters in this case?
Sorry, it seems the code formatting described in the help for comment formatting doesn't work.
Oct
27
comment Why doesn't FindClusters find any clusters in this case?
@belisarius AFAIU the problem is that WatershedComponents/ImageTake don't really allow accessing the "bitmap" of a component, so I am using "BoundingBox" but the box is including parts of other characters, so I wanted to smooth the boundingboxes before calling ImageTake. Code example: i = Import["i.stack.imgur.com/Ta5wf.png"] ws = WatershedComponents[i]; ColorCombine[{Image[mc, "Bit"], i, i}] ImageTake[i, Sequence @@ Reverse@Transpose@Last[#]] & /@ ComponentMeasurements[ws, "BoundingBox"]
Oct
27
comment Why doesn't FindClusters find any clusters in this case?
Thanks for your answers! I am still trying to figure out why EuclideanDistance doesn't work in this case. @J.M.: context is a an OCR algorithm I am trying to implement. I am trying to normalize a grid that has been estimated by WatershedComponents (See my other question) . It's probably too complex to include here.
Oct
27
awarded  Scholar
Oct
27
accepted Why doesn't FindClusters find any clusters in this case?
Oct
27
asked Why doesn't FindClusters find any clusters in this case?
Oct
16
awarded  Supporter