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Descriptions: Spotlight Pro is a professional hybrid graphics editor that allows you to carry out a full range of work with raster monochrome, grayscale and color images: scanned drawings, maps, diagrams and other graphic materials.
Spotlight scanning is performed using the WiseScan LE module, which is a comprehensive system designed to work with large format monochrome and color scanners. The scanner is controlled at the hardware level or using the TWAIN interface. The Scan to View method used in WiseScan LE allows you to:
– view the scanned image in a special window;
– Automatically load images into Spotlight document;
– connect scripts for image processing (batch files) that are executed immediately after scanning;
– save images in files of various graphic formats, as well as in PDF format;
– use an FTP address as a save folder;
– scan a large number of originals in batch using auto-naming schemes.
Monochrome filters are used to process dual tone images. Filters can significantly improve image quality and reduce the size of raster files. Filters: debris removal; filling holes; smoothing; thinning; circuit; inversion (negative); thickening; filling line breaks.
3. Correction of geometric distortions
Geometric distortion correction procedures allow you to correct various geometric distortions of monochrome, color and grayscale bitmaps. Such operations are desirable, and sometimes even necessary, before using more complex procedures such as delamination or vectorization. For example, if the original raster image has trapezoidal distortion, the vector image obtained as a result of the vectorization will no longer be corrected. This can be avoided by the four-point correction procedure, which is used to eliminate deformations before applying vectorization.
Calibration is designed to eliminate arbitrary (linear and nonlinear) distortions of raster images of any type (monochrome, grayscale and color), to correct errors in graphic documents, geodetic plans and maps in raster format. The source documents must contain points with known coordinates. In fact, due to deformation of the original material or scanning error, these dots in the scanned image may be located differently. After calibration, the raster images are transformed in such a way that the current coordinates of these points coincide with their known values.
5. Selection of objects by type and size
Selection operations allow you to transfer specific bitmap objects to new bitmap images placed on specified layers. From the original image, you can select hatches, text, linear objects and objects by size (isolated groups of points adjacent to each other). When performing an operation, the program finds objects of the specified type with the specified parameters on the image and transfers them to a new raster image. The new bitmap created as a result of the operation has the same parameters (size, insertion point, resolution, scale) as the original, but is placed on the layer you specified. At the same time, the loss of objects removed from the original image does not occur – they simply move to a separate raster layer.
Tracing is an interactive procedure that allows you to vectorize a bitmap of any type, as well as smooth or remove objects from a bitmap. Tracing is based on the technology of local recognition of raster geometric primitives. Using this technology, the program identifies raster lines as a line, arc or circle and generates the corresponding vector objects. You specify bitmaps on the image, and the program creates vector objects that approximate the selected bitmaps.
Automatic vectorization is a procedure that generates vector objects that transmit the original bitmap. There are two types of vectorization: raster primitive recognition and raster object approximation.
Vectorization algorithms of the first type search for fragments of a raster image that can be represented as basic geometric primitives and create vector objects corresponding to them. These algorithms recognize raster counterparts of vector primitives. Spotlight Pro uses a set of independent recognition algorithms that can be used in various combinations to produce a vector image with optimal structure.
8. Color vectorization
The command is intended for automatic vectorization of objects on color raster images (diagrams, plans, topographic maps) by polylines. During the operation, the program automatically determines the color table of the source image and assigns the nearest color to the resulting vector objects. When vectorizing, this allows you to distribute objects of different colors on different layers or exclude lines of a certain color from recognition.
9. Correction of vectorization results
Vector objects obtained as a result of automatic vectorization of low-quality raster images, as a rule, require additional correction. Correction is necessary if, after recognizing such objects as a line, circle, arc and polyline, many separate vector fragments are obtained (for example, instead of a line – several linear segments, instead of a raster circle – many arcs, instead of a polyline – many arcs and lines, etc.) etc.)
10. Drawing and editing objects
Spotlight offers a wide range of tools for editing objects created in the program, imported vector objects, as well as vector objects obtained as a result of automatic or semi-automatic vectorization.
11. Color correction and color filtering
Color filtering and color correction tools are used to prepare images for subsequent complex operations such as binarization, slicing, raster editing and vectorization. Color filters are also used to improve the quality of images after applying operations that move objects in the image or change the resolution (scaling, alignment, rotation, calibration, or four-point correction).
12. Binarization and color separation
Binarization and color separation procedures make it possible to obtain monochrome raster images (raster layers) from color and grayscale images. The original image is a raster file obtained as a result of color or grayscale scanning. Binarization allows you to create monochrome bitmaps containing a black and white representation of objects in a color image. For example, objects of different colors (level lines, roads, rivers, etc.) can be sequentially extracted from one color image of a scanned map and placed on separate monochrome layers. This separation method allows you to place objects on one monochrome layer that correspond to one or more different colors in the original image.
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