Reference Manual

Print2CAD 2018 x64 Artificial Intelligence

Vectorization 2:

Solidization and Contourization of Raster Pictures

German
Vectorization 2:  Solidization and Contourization of Raster Pictures

Solidization of Raster Pictures

In this setting all pixel images are vectorized and embedded into the drawing as an entity Solid (filled rectangle). All solids that have close to the same color will be connected to create one common solid. This option is ideal for colorful pictures or bad quality scans.

Original Raster Image in PDF
Image Solidization in DWG

Original Raster Image in PDF

Image Solidization in DWG

Parameter: Fill Small Holes in Pixel Traces

This setting fills the small holes in the pixel traces.

Parameter: Fill Small Holes in Pixel Traces

Parameter: Fill all Holes in Pixel Traces

This setting allows all holes in the pixel traces to be filled.

Parameter: Fill all Holes in Pixel Traces

Parameter: Close Open Pixel Traces

Often older scanned drawings will contain open pixel traces. This setting will prompt the program to close these open spaces. Under “For Experts Only” the user can select the distance between pixels.

Parameter: Close Open Pixel Traces

Parameter: Cleanup of Free Pixels

Often older scanned drawings will have free pixels. Selecting this feature will ensure the removal of these unwanted pixels for a cleaner converted file.

Parameter: Cleanup of Free Pixels

Parameter: Thicken Pixel Traces

 This setting will add a layer of pixels to the outer edge of the pixel trace.

Parameter: Thicken Pixel Traces

Parameter: Thin the Pixel Traces

This setting removes one layer of pixels from the outer edge of the pixel trace.

Parameter: Thin the Pixel Traces

Parameter: Assign Chromatic Colors to Layers

This setting assigns a separate color to entities from different layers. This way the user can better see the layer separation on the screen.

Original Raster Image in PDF
Color Entities Solid in DWG

Original Raster Image in PDF

Color Entities Solid in DWG

Parameter: Enhanced Recognition of Hatch Boundaries

This program tries to find separate vector and hatch areas from in common pixel traces.

Parameter: Repair Raster Pictures Using Blurring

A good method to repair bad quality scanned images is to blur these images and then convert them into black/white images using the threshold. By blurring, the free pixels are removed, and the holes in the pixel traces are closed.

Parameter: Repair Raster Pictures using Blurring
Parameter: Repair Raster Pictures using Blurring

Original

Picture after Blurring and Thresholding

Parameter: Vectorize Small Elements as Lines

The program vectorizes all small pixel traces in lines using the “center line tracing” method.

Original Raster Image in PDF
Small Elements as Lines

Original Raster Image in PDF

Small Elements as Lines

Convert Digital Photos as Hatch Entities “Solid”

The program vectorizes digital photos as color fillings in the form of an element Solid. Solids are very fast rectangle hatches used in CAD systems.

Output Images in Original Resolution

When selecting this option, all raster images are handled in their original resolution. For large raster images enabling this option may cause the resulting DWG / DXF file to contain millions of solid hatches.

Limited Dimension of Raster Pictures

When selecting this option, all pixel images are first scaled so that none of the dimensions are over the maximum values specified. The proportions of the image are not changed.

Handle Raster Images in Black and White

When selecting this option, the vectorized image is first converted into a black / white image and then vectorized. The threshold value for the color black is used.

Handle Raster Images in Black and White

Original Raster Image in PDF

Converted  DWG Output
(with black background)

Handle Raster Images in RGB or Index Colors

When selecting this option, the contrasts in color will be increased and then the image will be vectorized. The threshold value for the color black and white is considered.

Handle Raster Images in RGB or Index Colors

Original Raster Image in PDF

Converted  DWG Output
(with black background)

Ignore White Color

If this option is selected, all pixels which are brighter than the threshold of the color white in color images, and brighter than the threshold of the color black in b/w images, won‘t be converted.  This creates coherent hatching without any white spaces in between.

Ignore White Color

Original Raster Image in PDF

Converted  DWG Output
(with black background)

Contour Finding and Cartoonization of Digital Photos

This program functions helps to find the contours in digital photos. Contours can be explained simply as a curved joining of all the continuous points (along the boundary), that have the same color or intensity. The contours are a useful tool for vectorization of digital photos.

Contour Finding Methods

This program offers five different contour finding methods.

Method 1: Canny Method

This method was invented by John F. Canny a professor of computer science at the University of California, Berkeley. Canny‘s method is based on a gradient operator. The key idea here is to use two different thresholds to determine which point should belong to a contour.

Original Raster Image in PDF,  Converted  DWG Output

Method 2: Sobel Method

Original Raster Image in PDF

Converted  DWG Output
(with white background)

 In Irwin Sobel‘s method we apply directional filters to detect edges in raster images to create contours for the vector image.

Original Raster Image in PDF, Original Raster Image in PDF

Method 3: Shaar Method

Original Raster Image in PDF

Converted  DWG Output
(with white background)

The method of Hanno Scharr is a modification of Sobel‘s method for edge detecting in raster images. This method is preferred when more accurate estimates of the gradient orientation is required.

Original Raster Image in PDF, Converted  DWG Output

Method 4: Laplace Method

Original Raster Image in PDF

Converted  DWG Output
(with white background)

The Laplace method is named after its founder Pierre-Simon De Laplace. The Laplace method uses the simplest elliptic operator to detect contours.

Original Raster Image in PDF, Converted  DWG Output 


Method 5: Cartoonization

Original Raster Image in PDF

Converted  DWG Output
(with white background)

The method of cartoonization creates solid hatches out of digital images, which is reminiscent of the appearance of cartoons. These hatched areas are made from the DWG element Solid.

 

Original Raster Image in PDF, Converted  DWG Output

Original Raster Image in PDF

Converted  DWG Output
(with white background)

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