VisionLab .NET

  • APP : VisionLab .NET 8.0
  • Licence : Shareware
  • OS : Windows
  • Editeur : Mitov Software

Télécharger VisionLab .NET

VisionLab .NET

VisionLab .NETVisionLab .NET is a set of .NET 2.0-4.5 components for advanced computer vision.
The components allow rapid development of fully featured advanced computer vision applications with zero lines of program code.

Also includes a Visual Graphical Editor for Codeless Development.

Contains:

– Video Capture – captures analog or digital video sources like FireWire (IEEE1394) cameras, DV camcorders, USB web cams, IP cameras, TV cards, PCI composite cards, USB devices, with or without audio.
– Video Recorders – Records in compressed or uncompressed AVI.
– Video Players – Play compressed or uncompressed AVI, WMV files or IP streams.
– Image Generators – images from bitmaps.
– Video Layers – Applies video layers over the video frames.
– Timing components – Clocks and Watchdog Timers.
– Video Filters – Noise reduction filters, crop, and resize components.
– Motion Detector – Detects motion in the video.
– Adaptive threshold – Performs Adaptive threshold algorithm for edge detection.
– Canny – Performs Canny algorithm for edge detection.
– Hough Lines – Finds lines in the image using Canny edge detection and Hough transform.
– Probable Lines – Finds probable line segments in the image using Canny edge detection and Hough transform.
– Hough Circles – Finds circles in the image using Hough transform.
– Contour detection – Finds contours in binary image.
– Find Targets – Finds possible targets in the image. The targets are detected as strong corners in the image. The targets then can be tracked by the Track Targets component.
– Track Targets – Tracks moving targets on the image. The targets are tracked as strong corners in the image.
– Extract Robust Features – Extracts robust features using SURF algorithm.
– Haar and HOG Detect Objects – Detects objects by using Haar like features or Histogram of Oriented Gradients.
– Label Connected Components – Labels connected components in the image.

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