OK I have a few interestign (at least to me) image processing effects. Lets see if you guys can name the mathematical methods used to generate them :)
Here is the first one, hint its not a simple negative -
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OK I have a few interestign (at least to me) image processing effects. Lets see if you guys can name the mathematical methods used to generate them :)
Here is the first one, hint its not a simple negative -
Looks like a Sobel filter.
Well, that looks like the result of an edge filter, probably Sobel or Laplace, applied individually to each color channel. But knowing you, it's probably some weird neural network thing
As far as what those operations actually are, Laplace is a simple convolution with a 3x3 kernel with coefficients [ 1 1 1 ][ 1 -8 1 ][ 1 1 1 ] and Sobel is a magnitude interpolation between a horizontal and vertical gradient approximation kernel, I believe for vertical it is [1 0 -1][-2 0 2][1 0 -1] and for horizontal [1 -2 1][0 0 0][-1 2 -1]
Note that the "Laplace" kernel in image processing is not the true discrete Laplace kernel, as what would be used for physics simulations. That kernel is [0 1 0][1 -4 1][0 1 0]
I was taken aback by the posterized nature of the edges. It does seem as if a Sobel or some edge detect was done on the individual channels and then the merged into one image. However if the original photo had sharp color transitions then this could be produced by a simple Sobel filter or some other edge detection process.
So to add to my guess he probably posterized the orgiinal image and then did an edge detect on it. But this question is almost like giving us some arbitrary number and asking us how he arrived at that number.
Well you know my contests, I never give you all the info, I like to see how crazy and outrageous people get with that noodle between their ear bones.
Its actually much simpler than a sobel filter, it was actually designed for motion detection.
I did a time lapse historical average, with full storage of the last 100 frames, then I XOR'd it with the current image. Areas that didnt change would have zero values, areas that did change would have non-zero values.
Here is another one -
"Here's some random crap I did. Guess what random crap I did." ... doesn't seem like much of a contest.
Quzah.
Yeah here's some more crap you didn't do, Guess what random crap you didn't do.Quote:
Originally Posted by quzah
I gotta go with Quzah on this one... looks like you're just abstract the fact that you wanted to brag about your project by modestly wrapping a very obscure contest around it. Why you would do this, I don't know... people post their projects all of the time in either the Tech Board forum or the Projects & Job Recruitment forum and they get plenty of attention. Why don't you just make a post like that and tell us about what you did? I'd be interested in knowing about it.Quote:
Originally Posted by abachler
... oh, and throw a shirt on while you're at it. :)
Yeah abachler do you ever wear a shirt? Or are you hoping the ladies might take note on this board? Sorry to tell you but I don't think many frequent this board. :D
One of those looks like an emboss filter or perhaps a bump map filter.
Come to think of it, he might not be wearing any pants, either. :DQuote:
Originally Posted by Bubba
NO!!!Quote:
Originally Posted by SlyMaelstrom
If I do that whats next, a demand that I wear pants too? :D
For a second i thought i was seeing jack nicholson. :p
I don't see what a piece of fabric has to do with writing correct programs. It's completely immaterial, really (take that literally, if you like).Quote:
Originally Posted by abachler
Real programmers don't need clothes.
Changed it a bit and got better results ;)
Wow, big diff. What's the process being used to generate the upper right-hand image? I really don't know a whole lot about what filters do what, so I can't even begin to guess (except that it's some sort of edge-detector). But yeah, whatever you did, it looks a lot better.
Well, its similar to a sobel filter, except I threw out all the cumbersome matrix math. It's actually the same process i was using before except I removed the part that filters based on vector angle. The earlier image was only returning diagonal edges that ran LL to UR. This one actually just returns all edges.Quote:
Originally Posted by Sebastiani
Basically Im taking the pixel gradient and applying a sigmoid clamping function sqrt(sin(atan())), so that hard edges stay hard, but soft edges, like gradual shade or lighting changes get softened even further.
hi to every one
Please don't bump old threads.