Able Software R2V

Able Software R2V

Able Software R2V combines automatic vectorizing technology with a menu-driven, graphical user interface in the Microsoft Windows environment. The software converts scanned maps or images to vector formats for mapping, geographic information systems (GIS), CAD, and scientific computing applications.

R2V provides a solution to digitize vector data from image sources, such as scanned maps and drawings, aerial photos, and satellite imagery.

All the lines are extracted in seconds and displayed right on top of the image for you to verify and edit.

A typical contour or parcel map scanned at 200 DPI (dots/inch) as black and white or grayscale can be vectorized in seconds or minutes on a Pentium PC.

The editor enables you to handle lines, points, polygons, text labels, image pixels, and control points.

R2V will classify the colors and vectorize each color separately.

SPOT satellite image format is supported. Natural source images, such as aerial photos and color satellite images, can be automatically classified or segmented to generate region or boundary maps, all in R2V. Advanced image processing functions include image warp or registration, image mosaic, color classification and separation.

Image Formats: TIFF, GeoTIFF, JPEG, GIF, RLC, PNG and BMP formats. R2V supports most image types, including 1-bit bi-level, 8-bit grayscale, and color images (4-bit, 8-bit, and 24-bit). Most TIFF image compressions are supported. There is no software limit for image sizes. R2V also supports SPOT and other satellite raw image formats. Geo-reference your raster image in R2V and save to GeoTIFF format.

Vector Export/Import: ArcView (Shape file), Arc/Info Generate, AutoCAD DXF, MapInfo (MIF/MID), IGES, MapGuide SDL, 3D Grid file, 3D DEM (compatible with USGS DEM), VRML, and 3D XYZ vector file formats. More vector file formats are being added.

R2V supports three types of vectorization:
Fully automatic vectorization. One command will vectorize your scanned map in seconds or minutes at high quality. Batch function allows vectorizing a number of maps without any user intervention. Write your own batch script to customize the processing steps for the images before vectorization and for vector line processing after the vectorization.

Interactive line tracing. You select two points on the image and let R2V trace the line for you. Easy, accurate and intelligent! For complex maps or drawings, use the interactive tracing to vectorize lines selectively. Or use the multiple line tracing function to vectorize a group of lines with only two clicks.

Manual on-screen heads-up digitizing. With R2V’s easy to use vector editor, you simply draw the lines with your image as the backdrop, zoom in and out, and quickly create the data set for your specific applications

Complete Vector Editing: A complete on-screen vector editor is provided using the image as a backdrop. Lines can be created, moved, joined, split, removed, colored, and labeled. Closed polygons are formed easily from existing lines with the polygon editing tool.

Vector Labeling and Contour Map Digitizing: Lines can be labeled with different ID values which are saved as attributes when exporting to a mapping or GIS package. Semi-automatic contour line labeling is supported for quick elevation assignments of contour lines

Vector Rasterizing: Converts vector data to high resolution raster image for printing and processing.

Multiple Layers: Use R2V’s layer manager to define as many layers as needed to organize vectorized data into layers. Layers created in R2V are fully compatible with the export vector file formats that support multi-layer structure. With multiple layers defined, vector data can be processed, edited, and displayed by layer and moved between layers. Layers can be turned on, off, or locked for flexible vector data editing and handling.

Point Feature Digitizing: Complete support for digitizing of point features. Points can be created, moved and labeled. Point data can be exported to all the vector file formats supported.

Automatic Polygon Layer Creation: Create polygon layers automatically from vectorized lines with just one command. The closed polygons can then be edited, and labeled using R2V’s line editor. Polygons can be displayed in fill mode with a user defined hatch pattern and color for the layer.Image Warpping

Powerful Raster Image Editing: R2V provides a powerful raster drawing tool for easy image pixel editing and repairing. All image types, including 1-bit monochrome, grayscale, 8-bit color, and 24-bit color are supported by the Image Pixel Tool. Pixel mapping functions can easily map one pixel value to another for the entire image to remove noise pixels, clean up image background, or merge color layers.

Geo-Referencing Using GeoTIFF or Control Points: Vector data can be geo-coded or geo-referenced to a real world coordinate system (e.g., UTM, Latitude/Longitude) using GeoTIFF, user selected control points or a World file (TFW). Raster images can be geo-referenced as well with a generated World file supported by ESRI’s Arc/Info, ArcView, or TAB file by MapInfo. Image rubber sheeting functions allow geometric correction or registration of an image to a new coordinate system. R2V supports both Bi-linear and Delaunay triangulation methods for geometric transformation. Geo-referenced raster images can be saved in GeoTIFF format, and are fully compatible with other packages that support GeoTIFF.

Conversion between Map Projection Systems: R2V supports conversion between UTM coordinate systems, latitude/longitude, State Plane NAD27 and State Plane NAD83 systems. You can convert one point or an entire set of control points automatically.

Automatic Text Detection and Recognition (OCR): Detects and recognizes text of different fonts, sizes, and languages automatically. Flexible editor for easy removal and manipulation. Other irregular intersection symbols can be detected and corrected as well.

Merge Multiple Maps: Use R2V to vectorize maps separately and then merge them into one set by specifying proper control points. The merged vector data set can then be edited within R2V and treated as a single map.Image Cropping Using Region of Interest

Flexible Region of Interest for Vectorization and Image Processing: R2V supports regions of interest in the form of circles, rectangles, free form polygons, and their combinations for vectorization and image cropping.

3D Display With Image Draping: Create a 3D data set automatically from your labeled line data and display them using R2V’s advanced 3D display and animation function. View your data with image draping in 3D at any angle and distance. Supports 3D DEM (compatible USGS DEM format) and Grid formats for both input and output. 3D models can be exported to DXF, VRML, and XYZ formats. Simply download a VRML plug-in for your web browser and then click here to see an example
Powerful Image Processing: Vertical and horizontal flip, transpose, rotate, remove dark background, edge detection, image resample, crop a region, smoothing, segmentation, image mosaic, fusion, warping, and negate. Both supervised and unsupervised classification are built in to help process aerial photos or satellite imagery that are in color. Color separation, grayscale image enhancement, and image type conversions can all be done using R2V.

Image Mosaic: R2V’s Image mosaic command makes it easy to create a mosaic image from a series of sub-sections. Simply start by selecting the Image/Mosaic option, and specify the layout matrix and image file names. The image mosaic will be created in a few seconds. Images with overlapped borders are correlated to create seamless image mosaic.Image Mosaic is easy to create with R2V

Image Merge and Overlay: The image merge function allows you to combine multiple images interactively to create image overlays or mosaics.

Colorize Grayscale Images using a Low Resolution Color Image: R2V’s image fusion technology provides a powerful way to colorize a high resolution grayscale image using color information from a low resolution multi-spectral image. If you need to interpret a grayscale image at a higher accuracy, colorizing the image gives you the correct information about water, shadow, and vegetation, instead of just dark pixels.