| 1. Open the file: [ more] | ||
|---|---|---|
| 2. Segment the image: [ more] | ||
| 3. Save the file: [ more] |
| 1. | Input
File: The input file is a raster file that needs to be
converted to a file type that Pac-n-Zoom will accept. A higher density
will produce better results without significantly changing the final file
size. [ more] |
||
|---|---|---|---|
| 2. | Color
Segmentation: Regardless of the device that is used to capture
the data, the noise will prevent processing. Segmentation mush be run
before shape grouping (a.k.a., blob compressor). The first step
towards reducing the noise is to group the color together. Humans do this
inside their head. For example, if we can not see which dots belong to the
animal or forest, the animal will be camouflaged. Pac-n-Zoom offers 2 types of color grouping (a.k.a., color segmentation). Threshold segmentation (Pull-Down Menu: Noise->Threshold Segmentation) is recommended for use with Pac-n-Zoom Pre.Vu. Edge detection segmentation (Pull-Down Menu: Noise->Edge Detection Segmentation) is recommended for use with Pac-n-Zoom Color. For the best results, take the default segmentation settings. [ more] |
||
| 3. | Shape
Grouping: Shape grouping helps to eliminate noise in the image.
After both color and shape grouping have completed, most of the noise will
have been removed from the image. To be effective, shape grouping must run
on a segmented image. Before shape grouping is ran, you may want to set
the shape grouping parameters (Pull-Down Menu:
Noise->Blob Compressor Parameters). An acceptable tolerance of 2
or 3 is a reasonable value. Shape grouping is ran when the file is saved
as a *.pnz file. For golden and debug files, shape grouping is ran when a
*.pnh file is saved. [ more] |
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