CVB Foundation Package

The CVB Foundation Package builds on the power of CVB Image Manager and provides a powerful entry package for developers. The package includes the full functionality of CVB Image Manager complemented by a large set of imaging algorithms.

Since the release of CVB 2018, parts of the Foundation Package are supported under Linux on x86 and ARM platforms.

What is included in the CVB Foundation Package?

The collection of optimised algorithms includes functions for edge detection, blob detection, statistical image analysis, image filtering, plus an extensive range of arithmetical and logical functions.

OPC UA client and server communication functions to enable factory communications
Processing of images from polarisation cameras with sensors from SONY and Teledyne DALSA
2D and 3D calibration functionality
Optical Flow producing high-density movement vectors between pairs of images
Basic barcode reading
Advanced Bayer to RGB conversion with powerful algorithms and white balancing
Correlation based pattern matching for general pattern matching tasks
Arithmetic and logical image operators
Statistical image analysis
Colour space conversion
Image filtering including convolution and morphology
Advanced look-up tables
Sophisticated thresholding functions including dynamic threshold
Destructive text overlays for secure image archiving
Image segmentation like watershed transformation
Wavelet transformation for image analysis

Polarization – functions to process images from polarising cameras

New sensors from SONY and Teledyne DALSA bring another dimension to imaging – intensity, colour and now polarisation. Polarisation enables a number of applications that were previously impossible or required multiple images with different polarising filters. The functionality added to CVB Foundation Package allows simple de-mosaicing of the raw images, processing to generate a ‘minimum reflection’ image as well as more advanced processing that extracts the Stokes’ images and the Degree and Angle of Linear Polarisation (AOLP and DOLP). It provides a complete toolbox to get the best from cameras that use these sensors.

Have a look at our knowledge base article to learn how Polarisation makes the invisible visible, explaining technologies and showing example applications.

OPC UA – communication framework for the factory floor

OPC UA is an open standard for machine-to-machine communication and is often cited in Industry 4.0 and ‘connected factory’ descriptions. CVB OPC UA allows both client and server functionality to allow a CVB-based system to be part of an OPC UA network.

Functions for optical flow

Analysing movement is an important but complex task in machine vision. It is challenging to calculate optical flow at realtime frame rates, so this is rarely seen in imaging libraries. In CVB, optical flow is an efficient algorithm capable of detecting less than 2 degrees of angle and 1/10 pixel movement in determining the distance moved.

The algorithm uses a blockmatching technique to determine the movement between images. By modifying the blocksize, it is possible to optimise an application for speed or resolution.

Applications for Optical Flow include any type of movement analysis and the display of local motion vectors. Examples include the bulk flow of materials in a production environment, robot cell monitoring and particle imaging velocimetry (PIV).

Metric ‒ functions for 3D calibration

3D calibration is often a prerequisite before it is possible to perform any further analysis on 3D data. The Metric functionality in CVB Foundation uses a calibration target to remove distortions and transform from a pixel coordinate system to realworld units.

Metric allows a calibration result to be created, this can then be applied to incoming rangemap images using Image Manager core 3D functions, enabling calibrated pointclouds that can be analysed directly, or transformed back into "rectified rangemaps" for processing by 2D image processing tools.

Functions for barcode reading

The latest version of the CVB Foundation Package includes barcode reading functionality. ZXBarcode can read a variety of 1D and 2D symbologies and is particularly good at reading QR codes, even badly distorted ones.

For more demanding applications there is also a premium CVB Barcode tool with enhanced performance and includes barcode grading

Functions for the statistical evaluation of images

Quick and easy analysis of an image using statistical calculations such as mean value, standard deviation, etc. Ideally suited for evaluation of object completeness and presence checks, surface inspection (homogeneity, scratches, print, etc.), or the supervision of a camera image in regard to integration time, lighting, etc.

Functions for blob analysis and segmentation of objects

Counting and measurement of geometric dimensions of objects with coherent pixel areas (blobs). The surface area, diameter or position, orientation and shape parameters of any object can be determined using this algorithm. Especially useful for verification of shape completeness (i.e. drilling, junking), also known as connectivity.

Functions for edge detection

Optimised functions for subpixel edge detection and subsequent measurement of positions in an image. Regardless of whether single edges, edge pairs or multiple edges are concerned, the geometrical dimension of any object can be determined.

Functions for image arithmetic and logic

Extensive set of functions for pixel-level, arithmetic and logical combination of images. Allows easy image calibration, image averaging or image masking. Specific areas of an image can thus be hidden and spatial interferences can be removed.

Functions for superimposing destructive text overlays

This functionality allows the incorporation of user definable texts and numbers into any position within an image. The text replaces the original image data, making this function specially useful for adding timestamps, markings or other information for error tracking or archival purposes. Type styles can be selected using a wide range of fonts and styles and can be generated in different sizes and notations.

Functions for image filtering

Comprehensive collection of highly optimised filter algorithms for fast image preprocessing. The use of these filters makes it possible to intensify or attenuate certain image details in order to simplify or accelerate the subsequent analysis.

Functions for binarization using dynamic thresholding

The use of dynamic thresholding simplifies the processing of image data in situations with illumination variations. Using binarization, grey value images are translated into pure black & white images and the dynamic thresholding uses local thresholds that are automatically updated in case of local changes in illumination.

Functions for 2D-calibration of image data

Correction of distortion and optical aberrations arising from lens distortions or non-perpendicular viewing angles. After the calibration is defined, the algorithm produces corrected image data for further processing. This is an easy way to transform images on cylindrical surfaces for example.

Functions for colour processing

Depending on the image content and the analysis task, conversion of the original image into other colour spaces can simplify further processing. The functionality provides a number of highly optimised algorithms for segmentation of the input image into brightness, colour and saturation.

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Licences

CVB 2021 FOUNDATION DEV USB

Developer licence for CVB Foundation Package, licensed by a USB dongle.
CVB Foundation Package contains CVB Image Manager and can ...

Runtime licences

CVB 2021 FOUNDATION RTL NOD

Runtime licence for Common Vision Blox’s Foundation Package