Engines

ImageViz engines allow the application of computational algorithms on data extracted from images. More...

Modules
	Arithmetic And Logic
	The Arithmetics Operations category contains operations between two images or between an image and a constant as addition, subtraction, multiplication, division, minimum or maximum.
	Edge Detection
	An edge, also known as a discontinuity, in a signal is usually defined as a transition in the intensity or amplitude of that signal.
	Geometry And Matching
	Image Analysis
	The purpose of quantitative analysis is to extract new representations in the form of measurements from images.
	Image Filtering
	This category gathers engines for filtering images.
	Image Manipulation
	The Image Manipulation category contains engines for creating and editing images.
	Image Segmentation
	Segmentation is a critical step of image processing that consists of partitioning an image into multiple segments (sets of pixels).
	Mathematical Morphology
	The Mathematical Morphology is a theory for the analysis of geometrical structures.

Classes
class	SoImageVizEngine
	Abstract base class for all ImageViz engines. More...

Detailed Description

ImageViz engines allow the application of computational algorithms on data extracted from images.

Some engines work on images and provide output images, others provide numerical results, and others may work on vector data that represents segments of object edges. Some engines work only with 2D images, or only with 3D images and some work with both.

Naming conventions

Dimensional compatibility

Engines names may end with 2d or 3d:
• 2d indicates that an engine only supports 2D images,
• 3d indicates that an engine only supports 3D images,
• If this information is omitted, the engine works on both types of images.

Type of computation

A keyword in the engine name, just before the dimensional information, indicates the kind of action the engine performs.
• Generation indicates an engine that creates an image from a vector of integers representing the output image size (e.g., SoRandomImageGeneration)
• Processing indicates an engine that transforms an image or a set of images to another image or set of images (e.g., SoMedianFilterProcessing)
• Quantification indicates an engine that provides numerical results (e.g., SoAreaQuantification2d)
• Approximation indicates an engine that works on segments given by a polygonal approximation (e.g., SoObjectToSegmentApproximation2d).
• For cross-functional engines, the most relevant key-word is used (e.g., SoObjectCountQuantification provides a numerical result but also an output image that could be created by SoLabelingProcessing).

Field naming

An engine field can be
• An input data object(generally an image)
• An output data object
• A computation parameter

By convention :

• A field name beginning with in represents an input data object,
• A field name beginning with out represents an output data object,
• A field name beginning neither with in, nor out represents a parameter.

A field name beginning with in or out represents data. A key-word specifies the type of data:

• A field name containing Image represents an image (SoImageDataAdapter object),
• A field name containing Analysis represents a result of analysis, i.e., a list of measurements for a set of objects(SoLabelAnalysisResult object),
• A field name containing Segment represents a chain of segments, i.e., a list of vertices obtained from a polygonal approximation of objects edges(SoSegmentChain object),
• A field name named outResult represents a result object specific to the engine. It generally represents the measurement results of a global analysis of an image (e.g., SoAreaQuantification2d::SbArea2DDetail ).

Data conversion

See section Data conversion conventions