feature detection

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OpenCV

OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 6 million.

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Matlab Computer Vision System Toolbox

The Matlab Computer Vision System Toolbox extends the Matlab core functionality with general purpose image processing functions for feature detection & extraction, object detection & tracking and motion estimation.

Strengths:
- Most functions extend to nD
- optimized functions (muti-threaded for some)
- Matlab community (Matlab central)
- relatively low entry-threshold for functionality
- Tutorials & Webinars

Limitations:
- no embedded visualization of nD Microscopy data

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Fiji

Fiji is just ImageJ: a distribution of ImageJ (and ImageJ2) together with Java, Java 3D and a lot of plugins organized into a coherent menu structure. The main focus of Fiji is to assist research in life sciences. It is a free, open-source, community-driven project.

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OpenCV / Image Processing

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OpenCV / Image Stiching

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OpenCV / Object Detection

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OpenCV / 2D Features

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Mahotas / SURF

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