2015-02-26 17:19:52 -0600 | received badge | ● Enthusiast |
2015-02-22 18:11:46 -0600 | received badge | ● Scholar (source) |
2015-02-22 18:11:46 -0600 | received badge | ● Scholar (source) |
2015-02-22 18:11:41 -0600 | commented answer | Finding region of interest with a known pattern I thnk you're correct. I was overcomplicating things - why make it any harder than it needs to be right? |
2015-02-17 21:49:00 -0600 | commented question | Finding region of interest with a known pattern Sure thing, added the photo :) |
2015-02-17 21:48:26 -0600 | received badge | ● Editor (source) |
2015-02-17 00:38:28 -0600 | asked a question | Finding region of interest with a known pattern I want to do some image processing on two photos of the same object taken x amount of time apart and likely from varying angles and light. Fortunately there is a well defined region of interest in the photo indicated by a white square with a black cross (+) through the region. See the image below. In both photos I want to find and crop the ROI then perform a perspective transform. I'm not new to opencv, but i'm no expert either. I was hoping to start a discussion about the best way to find the ROI given its simple shape. My initial idea was to use some sort of high pass filter with a kernel that looked like this: But I have not used any similar methods like this before and I have a feeling this would fail if the ROI was not exactly square in the initial image. I also considered using contours with an algorithm to find that specific shape, as well as feature matching. I am sure there are better methods though, can someone please enlighten me :) |