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Vectorization process converts pixel areas with same color value range of raster data to vector areas in CAD and GIS structure in map coordinates.

Vectorization can be obtained by using two different methods. These are Value Range and Single Value.



Sampling Distance

The distance between the points to be sampled is determined. If the value is entered as 0, sampling distance value will be taken as input pixel size.

Work Only in Active Limit

Enables the vectorization to be performed only in the active screen limits.

Value Range

Generates areas of the specified ranges using the curve fitting method (MarchingSquares algorithm).

It is recommended to be used in raster data with gradient pixel values (example: creating elevation map from land model).

Single Value

Creates areas of values specified along pixel boundaries.

It is used to convert class areas to vector by being applied on the raster data formed after classification.

Soften option enables the pixel corners to be softened by rounding.


Add : Adds new range/value row.

Auto Create : Automatically creates range/value definitions varying according to the data types used. Through this process minimum and maximum data range/value increases can be intervened.

Fill in the Input Values : Definition will be made according to the minimum and maximum range/value information of the data.

Delete All : Enables to delete all definitions.


For vectorization applications (?)

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