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Consider the following image of a knee:

enter image description here

By default the background of this image is the black regions on the left and right sides of the image.

But is it possible to interactively define the foreground and background of this image or any image in general so that whenever I hover the mouse on a specific portion of the image the corresponding region will be considered as the foreground and the background will become transparent?

The idea is motivated from

Healthline Bodymap (http://www.healthline.com/human-body-maps/male) and

Brain Data Crawler (http://community.wolfram.com/groups/-/m/t/568284)

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  • $\begingroup$ Isn't this basically the same question as you posed here: mathematica.stackexchange.com/questions/112164/… (but with "black background" instead of "gradient"?) $\endgroup$
    – bill s
    Commented Apr 11, 2016 at 16:00
  • $\begingroup$ Yes, actually it's my updated question. Since, I've already accepted your answer, I thought probably that's why I'm not receiving any answer for my updated question. $\endgroup$
    – user36426
    Commented Apr 11, 2016 at 16:03
  • $\begingroup$ Maybe you could try to use the previous answers to solve your updated question? $\endgroup$
    – bill s
    Commented Apr 11, 2016 at 16:07
  • $\begingroup$ From your answer, I can get the gradient values near about the position of the mouse. Now I need to apply suitable segmentation scheme to segment the corresponding part of the knee. Yes, I'm trying it myself. But any direction will always be helpful. $\endgroup$
    – user36426
    Commented Apr 12, 2016 at 9:14

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RemoveBackground + HighlightImage seem to work for the provided example.

(Though HighlightImage does not seem to support Mouseover, so I insert it after the fact...)

knee = Import["https://i.sstatic.net/hCC57.jpg"];

mask = Binarize[RemoveBackground[knee], 0];

HighlightImage[knee, mask] /. f_FilledCurve :> 
  Tooltip[Mouseover[{EdgeForm[None], Opacity[0], f}, f], "Knee Joint"]

enter image description here

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  • $\begingroup$ Thanks for your response. Now I need to implement suitable segmentation scheme to get the different masks for different parts of the knee. $\endgroup$
    – user36426
    Commented Apr 12, 2016 at 9:09

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