FracLac for ImageJ. Sometimes the details of a design are more important than gross morphology. FRACLAC FOR IMAGEJ is for anyone who hopes to understand this phenomenon through fractal analysis of digital images. It presupposes that the curious analyst has little background, and provides most of what is required for one to become an accomplished fractal analyst ready to discuss the subtle, the beautiful, and the bizarre fractal features of patterns sometimes imperceptible to the eye yet mathematically detectable, and perhaps more interesting, measurable, in digital images. FRACLAC FOR IMAGEJ is a toolset to help you become such an analyst able to identify and measure fractal features. It includes a guide to fractals and fractal analysis, with tutorials about basic and advanced techniques, and software to do fractal analysis. Important topics covered include technical issues and interpreting results.
Keywords for this software
References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Hingee, Kassel; Baddeley, Adrian; Caccetta, Peter; Nair, Gopalan: Computation of lacunarity from covariance of spatial binary maps (2019)
- Millán, Humberto; Cumbrera, Ramiro; Tarquis, Ana M.: Multifractal and Levy-stable statistics of soil surface moisture distribution derived from 2D image analysis (2016)
- Pantic, Igor; Dacic, Sanja; Brkic, Predrag; Lavrnja, Irena; Jovanovic, Tomislav; Pantic, Senka; Pekovic, Sanja: Discriminatory ability of fractal and grey level co-occurrence matrix methods in structural analysis of hippocampus layers (2015)
- Spodarev, Evgeny; Straka, Peter; Winter, Steffen: Estimation of fractal dimension and fractal curvatures from digital images (2015)
- Ng, Hoi Dick; Abderrahmane, Hamid Ait; Bates, Kevin R.; Nikiforakis, Nikos: The growth of fractal dimension of an interface evolution from the interaction of a shock wave with a rectangular block of SF6 (2011)