Comments on: Image Vectors – ConvolutionFilter Fun http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/ Freelance Creative Developer - IOS -WebGL - Flash Fri, 03 Feb 2012 19:42:30 +0000 hourly 1 http://wordpress.org/?v=3.0 By: Perlinoisation « GrgrDvrt http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-596 Perlinoisation « GrgrDvrt Wed, 11 Aug 2010 23:42:06 +0000 http://www.neuroproductions.be/?p=50#comment-596 [...] y a un peu plus d’un an Neuroprod faisait des trucs avec des images. Et ça m’a donné envie de jouer. Sauf que les histoires de direction de l’image je [...] [...] y a un peu plus d’un an Neuroprod faisait des trucs avec des images. Et ça m’a donné envie de jouer. Sauf que les histoires de direction de l’image je [...]

]]> By: hebchop http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-89 hebchop Fri, 07 Aug 2009 21:44:10 +0000 http://www.neuroproductions.be/?p=50#comment-89 I've been tinkering w/ the loop for different effects. I love this. Thank you. I’ve been tinkering w/ the loop for different effects. I love this. Thank you.

]]> By: nicoptere http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-88 nicoptere Mon, 08 Jun 2009 10:31:27 +0000 http://www.neuroproductions.be/?p=50#comment-88 hi, beutiful and very inspiring. what about using a third component (the blue offset?lightness?) to emulate depth and throw in a 3D model? hi,
beutiful and very inspiring.
what about using a third component (the blue offset?lightness?) to emulate depth and throw in a 3D model?

]]> By: Kris http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-87 Kris Thu, 04 Jun 2009 21:48:45 +0000 http://www.neuroproductions.be/?p=50#comment-87 Hello Mario, I saw your "Tinkerer’s Box" session at FITC Amsterdam 2009, but I don't remember that method? Did you show it there? Maybe I remembered it unconsciously... The idea to get directions from pixel values I got from Cay Garrido : http://www.neuroproductions.be/experiments/generative-art-lines/ Hello Mario,
I saw your “Tinkerer’s Box” session at FITC Amsterdam 2009, but I don’t remember that method? Did you show it there? Maybe I remembered it unconsciously…

The idea to get directions from pixel values I got from Cay Garrido :
http://www.neuroproductions.be/experiments/generative-art-lines/

]]> By: Mario Klingemann http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-86 Mario Klingemann Thu, 04 Jun 2009 21:10:48 +0000 http://www.neuroproductions.be/?p=50#comment-86 Well, the reason why it looks so similar is probably because you use the same convolution that I am using to detect the angles inside an image. I have been showing this technique for quite a while now in my "Tinkerer's Box" talk. Well, congratulations for stumbling across it yourself. Well, the reason why it looks so similar is probably because you use the same convolution that I am using to detect the angles inside an image. I have been showing this technique for quite a while now in my “Tinkerer’s Box” talk. Well, congratulations for stumbling across it yourself.

]]> By: Kris http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-85 Kris Thu, 04 Jun 2009 21:01:57 +0000 http://www.neuroproductions.be/?p=50#comment-85 Thanks for the comments :) @Mark: No, I first put the image in grey scale and remove the contrast a bit to get rid of the highlights and the dark spots: http://www.neuroproductions.be/uploads/blog/examples/convolution/convolution1.jpg Then I create 2 bitmaps with the convolution filter where I detect the horizontal and the vertical edges: http://www.neuroproductions.be/uploads/blog/examples/convolution/convolution2.jpg After that I copy a channel (red and green) from each of the 2 bitmaps in one bitmap: http://www.neuroproductions.be/uploads/blog/examples/convolution/convolution3.jpg With getPixel() you can now retrieve the green and red value of a specific pixel. The red value represents the horizontal direction and the green value the vertical direction Thanks for the comments :)

@Mark:
No, I first put the image in grey scale and remove the contrast a bit to get rid of the highlights and the dark spots:
http://www.neuroproductions.be/uploads/blog/examples/convolution/convolution1.jpg

Then I create 2 bitmaps with the convolution filter where I detect the horizontal and the vertical edges:
http://www.neuroproductions.be/uploads/blog/examples/convolution/convolution2.jpg

After that I copy a channel (red and green) from each of the 2 bitmaps in one bitmap:
http://www.neuroproductions.be/uploads/blog/examples/convolution/convolution3.jpg

With getPixel() you can now retrieve the green and red value of a specific pixel. The red value represents the horizontal direction and the green value the vertical direction

]]> By: Mark Knol http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-84 Mark Knol Thu, 04 Jun 2009 20:43:30 +0000 http://www.neuroproductions.be/?p=50#comment-84 Wow that is pretty amazing. Love the spagetti-moves! BTW Did you used a convolution filter to get the highlights from the photo? Wow that is pretty amazing. Love the spagetti-moves!

BTW Did you used a convolution filter to get the highlights from the photo?

]]> By: sakri http://www.neuroproductions.be/experiments/image-vectors-convolutionfilter-fun/comment-page-1/#comment-83 sakri Thu, 04 Jun 2009 16:25:56 +0000 http://www.neuroproductions.be/?p=50#comment-83 damn! That's a lot more than I ever got out of convolution filter :D Nice work! damn! That’s a lot more than I ever got out of convolution filter :D Nice work!

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