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ImageJ is a Java-based image processing program developed at the National Institutes of Health and the Laboratory for Optical and Computational Instrumentation (LOCI, University of Wisconsin). [ 2 ] [ 3 ] Its first version, ImageJ 1.x, is developed in the public domain , while ImageJ2 and the related projects SciJava , ImgLib2 , and SCIFIO are ...
A plugin for ImageJ using Otsu's method to do the threshold; A full explanation of Otsu's method with a working example and Java implementation; Implementation of Otsu's method in ITK; Otsu Thresholding in C# – a straightforward C# implementation with explanation; Otsu's method using MATLAB; Otsu Thresholding with scikit-image in Python
A mipmap is a prescaled set of downscaled copies. When downscaling, the nearest larger mipmap is used as the origin to ensure no scaling below the useful threshold of bilinear scaling. This algorithm is fast and easy to optimize. It is standard in many frameworks, such as OpenGL. The cost is using more image memory, exactly one-third more in ...
One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness.
One of Fiji's principal aims is to make the installation of ImageJ, Java, Java 3D, the plugins, and further convenient components, as easy as possible. As a consequence, Fiji enjoys more and more active users.
Assuming that the image has been pre-smoothed by Gaussian smoothing and a scale space representation (,;) at scale has been computed, we can require that the gradient magnitude of the scale space representation, which is equal to the first-order directional derivative in the -direction , should have its first order directional derivative in the ...
While in some cases, the threshold can be selected manually by the user, there are many cases where the user wants the threshold to be automatically set by an algorithm. In those cases, the threshold should be the "best" threshold in the sense that the partition of the pixels above and below the threshold should match as closely as possible the ...
The exact values of sizes of the two kernels that are used to approximate the Laplacian of Gaussian will determine the scale of the difference image, which may appear blurry as a result. Differences of Gaussians have also been used for blob detection in the scale-invariant feature transform.