Legacy ImageMagick Discussions Archive

OK I will try to downgrade

I use this magick kLdPK.jpg -threshold 50% -morphology Thinning:-1 Skeleton skeleton.gif convert kLdPK.jpg -threshold 50% -morphology Thinning:-1 Skeleton skeleton.gif and this magick kLdPK.jpg -morphology Thinning:-1 Skeleton skeleton.gif convert kLdPK.jpg -morphology Thinning:-1 Skeleton skeleton....

I use this two commands and nothing

maybe couldbe problems with the version of problems whit the OS

I dont know

I use this version Version: ImageMagick 7.0.4-9 Q16 x86_64 2017-02-20 http://www.imagemagick.org

I will try to downgrade to your version

Still not correct. See my listing above. Note that the type is grayscale and not binary. Also see all the graylevels in the histogram. Morphology works primarily on binary images. So you need to threshold this image. I use the same command that you tell me but not works I use the image that you pos...

I use the same command and not works this could be a error of versions ??

how convert this to binary ??

Image: kLdPK.jpg Format: JPEG (Joint Photographic Experts Group JFIF format) Mime type: image/jpeg Class: PseudoClass Geometry: 98x98+0+0 Units: Undefined Type: Grayscale Base type: Palette Endianess: Undefined Colorspace: Gray Depth: 8-bit Channel depth: Gray: 8-bit Channel statistics: Pixels: 9604...

Image: kLdPK.jpg Format: JPEG (Joint Photographic Experts Group JFIF format) Mime type: image/jpeg Class: PseudoClass Geometry: 98x98+0+0 Units: Undefined Type: Grayscale Base type: Palette Endianess: Undefined Colorspace: Gray Depth: 8-bit Channel depth: Gray: 8-bit Channel statistics: Pixels: 9604...

Rendering intent: Undefined Gamma: 0.454545 Alpha color: grey74 Background color: white Border color: srgb(223,223,223) Transparent color: none Interlace: None Intensity: Undefined Compose: Over Page geometry: 98x98+0+0 Dispose: Undefined Iterations: 0 Compression: JPEG Quality: 95 Orientation: Unde...

I use version 7.0

I obtain this

I expected this

I see this post http://stackoverflow.com/questions/31567028/how-can-i-count-the-number-of-tips-in-an-image-in-opencv and i use this command but not get nothing similar to this post this is my image https://i.stack.imgur.com/kLdPK.jpg i use this code convert threeshold -morphology Thinning:-1 Skeleto...

For example in the other post for the hands detect red point is not difficult but detect yellow points is more complicated

Would be similar with the letter but that would have to combine that information to do the segmentation