The use of lacunarity for visual texture characterization of pre-sliced cooked pork ham surface intensities

A Critical Review of High and Very High-Resolution Remote Sensing Approaches for Detecting and Mapping Slums: Trends, Challenges and Emerging Opportunities

“…This analysis is often complex as image features tend to exhibit a scale-dependent behavior, leading to difficulties in the interpretation of results [89]. Texture measures can be extracted using several approaches, namely structural, statistical, model-based or transform methods [90].…”

Multifractal analysis application to the characterization of fatty infiltration in Iberian and White pork sirloins

“…Some papers have been published on the basic concepts of box-counting multifractal analysis , Fourier analysis dimension (Valous et al, 2009b), detrended fluctuation analysis (Valous, Drakakis, & Sun, 2010) and lacunarity (Valous, Sun, Allen, & Mendoza, 2010) applied to study the fat content and distribution in images of pre-sliced pork ham. The sandbox multifractal analysis proposed in this work improves the fat connective tissue description by obtaining accurate results not influenced by biased assessment of the generalized fractal dimensions.…”

Lacunarity of soil macropore space arrangement of CT images: Effect of soil management and depth

“…Therefore lacunarity can be used as a test of self-similarity and as an alternative way to estimate the fractal dimension. A great number of applications of lacunarity have being developed with different types of extensions of the original concept including the analysis of binary as well as non-binary images (Roy and Perfect, 2014) and ranging from pedodiversity analysis (Caniego Monreal et al, 2013) to food research (Valous et al, 2010). In the context of soil studies, lacunarity has been used to study soil bulk density from 2D CT data (Zeng et al, 1996), to explore management effects on intra-aggregate pore geometry in 2D binary images (Chun et al, 2008) and to analyze soil macropore network and solute transport patterns with 3D CT binary images (Luo and Lin, 2009).…”