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Java Active Tier Java and automatically introspected project metadata Shell commands Java (Full Web Application including Java source, AspectJ source, XML, JSP, Spring application contexts, build tools, property files, etc.) T4: Passive T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).
To this end, as one of the aforementioned Google Summer of Code projects, a script editor was added with syntax highlighting and in-place code execution. The scripting framework is included in the Fiji releases, so that advanced users can use such scripts in their common workflow.
Before the release of ImageJ in 1997, a similar freeware image analysis program known as NIH Image had been developed in Object Pascal for Macintosh computers running pre-OS X operating systems. Further development of this code continues in the form of Image SXM , a variant tailored for physical research of scanning microscope images.
This is commonly used in fields such as time-domain astronomy (known primarily as difference imaging) to find objects that fluctuate in brightness or move. In automated searches for asteroids or Kuiper belt objects , the target moves and will be in one place in one image, and in another place in a reference image made an hour or day later.
A Laplacian pyramid is very similar to a Gaussian pyramid but saves the difference image of the blurred versions between each levels. Only the smallest level is not a difference image to enable reconstruction of the high resolution image using the difference images on higher levels. This technique can be used in image compression. [13]
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel , CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [1] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed .