Overview

Vextractor is a tool for converting raster images to vector by drawing centerlines and outlines. Vextractor can be used for vectorizing drafts, maps, schemes, logos, charts, etc.

The program's basic features:

The following two vectorization methods are available:

• Drawing centerlines (skeleton lines) over raster.
• Drawing contours of area boundaries.

The following two line smoothing methods are available:

• Piecewise-linear approximation (polyline creation).
• Spline approximation by Bezier curves.

The following options are available for drawing centerlines:

• Arc and circle recognition.
• Orthogonal lines recognition.
  
• Automatic filling of line gaps.
• Automatic tracing of contours through line intersections.

The program supports the following raster formats:

• BMP
• TIFF/GeoTIFF
• GIF
• JPG
• PNG
• TGA
• RAS
• PCX
• PBM, PGM, PPM
• WBMP
• ICO

The output vector data can be saved in the following formats:

• AutoCAD DXF
• AutoCAD DXB
• ArcView Shape files (SHP)
• MapInfo MID/MIF
• Windows Metafile (WMF)
• Windows Enhanced Metafile (EMF)
• ASCII XYZ (Plain text)
• Scalable Vector Graphic (SVG)
• Encapsulated PostScript (EPS)
• Adobe Illustrator (AI)

The following tools are available for correcting raster images:

• 90º-divisible rotation.
• Custom-degree rotation.
• Horizontal and vertical mirroring.
• Inversion.
• Adjusting brightness and contrast.
• Adjusting image palette.
• Median filtering.
• Removing isolated black and white areas (for binary images only).
• Noise filtering by averaging with threshold (for binary images only).
• Morphological operations: Opening, Closing, Erode, Dilate.

The results of such processing can be saved in the following raster formats:

• BMP
• TIFF
• PNG

Supports TWAIN32-compatible scanners.

Built-in vector editor. Allows editing contours, arcs, and circles generated during vectorization and creating vector objects manually.

Coordinate referencing of images. Supports referencing data contained in the GeoTIFF and World-files. Allows two referencing methods:

• By image size.
• By setting a point of reference.

Batch processing (vectorization).