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Dear all,
I guess this is a question about image segmentation... basically the image is a gray-scale map, lowest gray-level is 60, highest gray-level is 200... each level of the grayness is 10...
It's a problem of reverse engineering... I am visualizing some magic data and it happens that the data becomes like this... it was hidden to me that what kind of "segmentation" can make image "lena"(consider only luminance component) look like this?
Segmentation based on "non-homoguousnity"? Based on "grayness level" in the original lena image? Based on on "local smoothness"?
Please give me some idea on this!
Thanks a lot,
-Walala
Jerry -- Engineering is the art of making what you want from things you can get. ŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻŻ
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