VisionLab .NET

VisionLab .NET Review

.NET 2.0-4.5 Advanced Computer Vision Library. Motion, and Image recognition.
6.0 Version :
Not Rated Editor's rating :
Platform :
Win7 x32, Win7 x64, WinServer, WinVista, WinVista x64, WinXP
USD $670.00Price :
449978 KBFile Size :
ViewScreenshot :
Developers KitCategory :
Mitov SoftwareCompany :
12-06-2013Release date :

From Developers

VisionLab 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. Free for non-commercial use.

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