Raster module

Automatic vectorization

The Raster Module converts raster images into the vector objects by recognizing the following entities: points, lines, arcs, circles, hatches, texts, symbols, and outlines. At the end of the vectorization process, lines, circles, arcs, polylines, and arrowheads are recognized as object types.

Monochrome filtering

The Raster Module offers a rich variety of monochrome filters, such as smoothing, thinning and thickening, removing speckles, filling holes, generating contours, and inverting images. These not only improve image quality, but also reduce the size of raster files significantly.

Correcting image geometry

The Raster Module corrects geometric distortions in raster images, whether monochrome, grayscale, or color:

• Resizing raster images
• Scaling images and changing resolutions
• Cropping
• Deskewing etc.

Color reduction and separation

The Raster Module separates objects of different colors (such as roads and rivers) onto their own monochrome layers. The efficiency obtained in using this technique is higher than by making black-and-white scans of color images.

Color correction

The Raster Module’s color correction tools prepare images for subsequent complex operations, such as editing, slicing, and raster-to-vector conversion:

• True color conversion
• Grayscale conversion
• Indexed colors conversion
• Brightness, contrast, hue, and saturation adjustments
• Histogram correction
• Gamma correction etc.

Color filtering

The Raster Module’s color filtering tools prepare images for subsequent operations. Color filtering improves the quality of images after operations that move entities in the image or change the resolution through scaling, alignment, rotation, calibration, and four-point correction. Tools in color filtering include the following:

• Adaptive Blur
• Blur
• Contour sharpness etc.