Triangle is a tool to create image arts using the delaunay triangulation technique. It takes an image as input and it converts to abstract image composed of tiles of triangles.
- First the image is blured out to smothen the sharp pixel edges. The more blured an image is the more diffused the generated output will be.
- Second the resulted image is converted to grayscale mode.
- Then a sobel filter operator is applied on the grayscaled image to obtain the image edges. An optional threshold value is applied to filter out the representative pixels of the resulting image.
- Lastly we apply the delaunay algorithm on the pixels obtained from the previous step.
blur = tri.Stackblur(img, uint32(width), uint32(height), uint32(*blurRadius))
gray = tri.Grayscale(blur)
sobel = tri.SobelFilter(gray, float64(*sobelThreshold))
points = tri.GetEdgePoints(sobel, *pointsThreshold, *maxPoints)
triangles = delaunay.Init(width, height).Insert(points).GetTriangles()
$ go get github.com/esimov/triangle/cmd/triangle
$ go install
$ triangle --help
The following flags are supported:
Flag | Default | Description |
---|---|---|
in |
n/a | Input file |
out |
n/a | Output file |
blur |
4 | Blur radius |
max |
2500 | Maximum number of points |
noise |
0 | Noise factor |
points |
20 | Points threshold |
sobel |
10 | Sobel filter threshold |
solid |
false | Solid line color |
wireframe |
0 | Wireframe mode (without,with,both) |
width |
1 | Wireframe line width |
gray |
false | Convert to grayscale |
Setting a lower points value, the resulted image will be more like a cubic painting. You can even add a noise factor, giving a more artistic, despeckle like result for the final image.
In case the gray
filter is set as true
the resulting triangulated image will be converted to grayscale mode.
Here are some examples you can experiment with:
$ triangle -in samples/clown_4.jpg -out output.png -wireframe=0 -max=3500 -width=2 -blur=2
$ triangle -in samples/clown_4.jpg -out output.png -wireframe=2 -max=5500 -width=1 -blur=10
Below are some of the generated images:
This project is under the MIT License. See the LICENSE file for the full license text.