VisiQuest

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Powerful Image Processing Software

See the VisiQuest Image Processing Workspace

The Image Processing Toolbox is part of VisiQuest Professional and offers 60 image processing software functions (glyphs) to simplify the challenging tasks of image registration and segmentation. Without needing to learn a proprietary programming language, users can quickly use our image processing software with drag and drop placement of glyphs into the visual programming environment — see some image processing examples.

Solve challenging segmentation problems

In image analysis, segmentation is the partition of a digital image into multiple regions (sets of pixels), according to some criterion. The goal of segmentation is typically to locate certain objects of interest which may be depicted within the image. The VisiQuest Image Processing Toolbox includes 18 glyphs that range from simple Thresholding functions used to transform the intensity levels of an image, to more complex operations such as Laplacian filters. Segmentation solutions are commonly needed in medical imaging, machine vision and remote sensing applications.

Easily segment an image with the image processing toolbox

Save time and effort by eliminating manual steps in image registration

Image registration is the process of transforming the different sets of image data into one coordinate system. Registration is necessary in order to be able to accurately compare or combine the data obtained from different measurements. A common application is in medical imaging where registration often involves elastic (or nonrigid) registration to cope with elastic deformations of the body parts imaged.

The VisiQuest Image Processing Toolbox includes 42 high performance glyphs that make use of all registration components, including transforms, interpolators, metrics, and optimizers. The transform glyphs are used to manipulate the moving image. The interpolator glyphs are used by the transform to map non-grid transformed data points to proper grid data points in the transformed image. Metrics measure the similarity of the input fixed image to the transformed moving image. Finally, an optimizer updates the transform parameters after each iteration, based on the metric value.

The image processing toolbox helps you easily register an image

Use the Image Processing Toolbox to: