Hi,
The ContourGenerator or the SurfaceModeller transformer can be used to generate contour from point cloud. And then, you can use the VectorOnRasterOverlayer to draw the contour onto a raster.
Try them.
Takashi
Hi,
You will have to introduce the image processing filter yourself, since no transformer exists for the job.
See the following
page for some examples.
Itay
I am afraid that on the subject of convolution and other kernel techniques the answer is a no. At least, I tried this about 2 years ago and couldn't get it to work. Don't think it has changed since.
There's a possibility for small kernels: duplicating the raster onto different bands (say 8 times) and moving them all by 1 cell will allow you to make a fake 3x3 kernel, using a rasterexpressionevaluator and using different bands instead of different neighbours for the calculations. This gets cumbersome (and slow) fast.
I tried accessing the raster data from the python API to use it with a custom kernel processor, but I've not found a way to do this. Preferably you'd access the data as a 2D array, the rest is reasonably easy. If you do find a way, please let me know!
Thanks for the reply. I will probably need a 7x7 kernel to smoothen the lines and its only one band, so I cant use this technik.
Guess I have to output the raster then to the kernel filtering.
Hi, @paal, @kim, check this out! I tried to create a RasterConvoluter as an image processing tool on FME Hub. It only supports a single real*64 band type, however for starters sake... Anyway, FME has plenty of tools to translate any kind of raster to real*64 and back to colored images. Have fun with it.
Very happy (now find the time to play with it)!