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Found 2 results

  1. Hello, I am having a bit of an issue applying a threshold to an image and getting reliable results. I am thinking using edge detection prior to doing any other image processing could make this work... but I am at a loss for how to implement it. If you look at the image below you will see the root of my problem. The top set of images and bottom are only a second or 2 apart but the threshold sees them differently, yet the edge detection seems to correctly detect the edges the same. I only care about the range of pixels that usually makes up the brightest part of the image (hence the thresholding) but the low end of that range changes from frame to frame and I am left with an incorrect determination. My question is, does anyone know of a good way to use edge detection (or maybe some other method that I am not aware of) to help me with this problem?
  2. I am trying to do hand gesture recognition for any background ( not by using a single color plane behind the hand ). I am acquiring the image by using the integrated webcam that is present in my laptop. once the gestures are identified , i need to take some decisions to control someother instrument. I am trying this by using image processing techniques like edge detection, template matching etc. I am not able to find expected results..Is there any precautions to be handled to get this correct ?
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