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We are pleased to announce the new version of CUVI lib. Our team has been working hard on this release to bring significant improvements over the previous version. You can download the latest release from this link.
Changes from version 0.5:
- Pyramidal Optical Flow (Lucas-Kanade)
- Feature selection (KLT | Harris | Peter)
- Feature tracking (KLT)
- Lightning Adjustment
- Bayer to RGB conversion
CUVI library comes with a lot of image processing building blocks that can be used to build countless applications. For example the Feature Detection & Tracking module of CUVI can be used for motion detection in a live video stream, intrusion detection and tracking an object of interest throughout a video stream or series of cameras. The processing pipeline for motion detection goes as follows:
CUVI version 0.6 is under development. One of its new features is the histogram equalization of images.
Histogram Equalization is an image processing technique for contrast enhancement of low contrast images. Our implementation is 3 to 6 times faster than the one offered by OpenCV 2.2, with same output. The speed depends on image size as well as image intensity values. Currently, only 8 bit greyscale images are supported, and we hope to add support for other image types in future releases of CUVI.