https://www.ias-iss.org/ojs/IAS/issue/feedImage Analysis & Stereology2020-01-21T21:45:35+00:00Marko Kreft, IAS Editor in chiefmarko.kreft@bf.uni-lj.siOpen Journal Systems<p>Image Analysis and Stereology is the official journal of the <a href="http://www.issia.net/">International Society for Stereology & Image Analysis</a>. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography. Image Analysis & Stereology is a continuation of <a href="http://popups.ulg.ac.be/0351-580X/index.php?page=presentation">Acta Stereologica</a>.</p><p>This journal is regularly indexed or abstracted in: <a title="Cabell Publishing" href="http://www.cabells.com">Cabell Publishing</a>, <a href="http://www.csa.com/">Cambridge Scientific Abstracts</a>, <a href="http://www.cas.org/">Chemical Abstracts</a>, <a href="http://thomsonreuters.com/current-contents-connect/">Current Contents®/Engineering Computing and Technology</a>, <a href="http://www.statindex.org/">Current Index to Statistics (CIS)</a>, <a href="http://www.doaj.org/">DOAJ</a>, <a href="http://www.ebscohost.com/">EBSCO</a>, <a href="http://www.theiet.org/resources/inspec/">INSPEC</a>, <a title="New JCR titles in 2013" href="http://scientific.thomsonreuters.com/imgblast/JCR-newlist-2013.pdf">Journal Citation Reports/Science Edition</a>, <a href="http://www.ams.org/mr-database">Math Reviews</a>, <a href="http://www.ams.org/mathscinet">MATHSciNet</a>, <a href="http://www.medical-journals-links.com/biomathematics-biostatistics-biometrics-journals.php">Medical Journal Links</a>, <a href="http://search.proquest.com/metadex">METADEX</a>, <a href="http://en.wikipedia.org/wiki/Referativny_Zhurnal">Referativnyj Zhurnal</a>, Science Citation Index Expanded (SciSearch®), <a href="https://www.scopus.com/sourceid/11700154323">SCOPUS</a>, <a href="https://apps.webofknowledge.com/">Web of Knowledge</a> and <a href="http://www.emis.de/ZMATH/">Zentrallblatt MATH</a>.</p><p><span><span>Image Analysis & Stereology publishes</span><span class="m_-7660546945188024108apple-converted-space"> </span><a title="Abstracts in Slovenian" href="/ojs/IAS/pages/view/slovenian" target="_blank" data-saferedirecturl="https://www.google.com/url?hl=sl&q=https://www.ias-iss.org/default_002.html&source=gmail&ust=1487657459560000&usg=AFQjCNHSoETlTm9q9h97FDn1oJv3gBxkTA"><span>abstracts in Slovenian language</span></a><span>.</span></span></p><p><span>The JCR Impact Factor (SCI) for 2018 is <strong>1</strong></span><strong>.778<br /></strong>5 Year Impact Factor: 1.615</p><p><a href="https://www.scopus.com/sourceid/11700154323?origin=resultslist" target="_blank">Scopus journal metrics</a>:</p><ul><li>CiteScore 2018 <strong>1.52</strong></li><li>SJR 2018 <strong>0.203</strong></li><li>SNIP 2018 <strong>0.787</strong></li></ul>https://www.ias-iss.org/ojs/IAS/article/view/2207Stereological methods in cement-based materials technology: A survey of my research group’s activities during the past half of a century2020-01-21T21:45:35+00:00Piet Stroevenpieter37@xs4all.nl<p>Four topics of high engineering relevance in which we were involved are introduced herein. Aggregate packing in concrete is of obvious relevance: denser packings lead to reduced cement demands, while modern developments in the (super) high performance range of cementitious materials are based on particle packing. Fiber reinforcement efficiency in concrete that we have studied extensively offers a relatively simple stereological problem for which Cauchy laid down the fundament. In the third problem of damage analysis the dispersion of small cracks in concrete is at issue. Insight into damage characteristics would be relevant in all (fracture) mechanical experiments. This topic can equally be linked to Cauchy. In both cases, the data acquisition by stereological methods is indicated. The fourth topic is of high actual relevance. It involves porosimetry in computer-simulated (virtual) cementitious materials, ultimately aiming permeability estimation. The stereological problems involved are indicated, and - again – Cauchy can be linked to finding solutions. Finally, new, mostly yet unpublished developments are indicated aiming for more economic procedures as well as improving reliability of permeability estimates by nano-packing of globules, so that ultimately this methodology could replace the laborious and expensive (and biased) experimental route.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereologyhttps://www.ias-iss.org/ojs/IAS/article/view/2133Resolution of the Wicksell's equation by Minimum Distance Estimation2019-12-16T11:57:40+00:00Dorian Depriesterdorian.dep@gmail.comRégis Kublerregis.kubler@ensam.eu<p>The estimation of the grain size in granular materials is usually performed by 2D observations. Unfolding the grain size distribution from apparent 2D sizes is commonly referred as the corpuscle problem. For spherical particles, the distribution of the apparent size can be related to that of the actual size thanks to the Wicksell’s equation. The Saltikov method, which is based on Wicksell’s equation, is the most widely used method for resolving corpuscle problems. This method is recursive and works on the finite histogram of the grain size. In this paper, we propose an algorithm based on a minimizing procedure to numerically solve the Wicksell’s equation, assuming a parametric model for the distribution (e.g. lognormal distribution). This algorithm is applied on real material and the results are compared to those found using Saltikov or Saltikov-based stereology techniques. A criterion is proposed for choosing the number of bins in the Saltikov method. The accuracy of the proposed algorithm, depending on the sample size, is studied.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereologyhttps://www.ias-iss.org/ojs/IAS/article/view/2095Extended algorithm to construct a quadtree from Freeman chain code in four directions2019-12-16T11:57:40+00:00Andrej Neratandrej.nerat@um.siDamjan Strnaddamjan.strnad@um.siEva Zupančičeva.zupancic@um.siBorut Žalikborut.zalik@um.si<p>This paper introduces improvements to the algorithm that was proposed in 2001 by Chen and Chen. The algorithm constructs a quadtree directly from Freeman chain code in four directions. We have improved the algorithm in two ways: Firstly, a time efficient solution using the space filling Z-order curve is proposed for a self-intersection case that was not considered by Chen and Chen. Secondly, the algorithm is expanded to handle geometric objects containing holes. The computational efficiency of the extended algorithm was confirmed by the experiments.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereologyhttps://www.ias-iss.org/ojs/IAS/article/view/2089Geometrical Properties of Skeletal Structures of Radiolarian Genus Didymocyrtis2019-12-16T11:57:40+00:00Takashi Yoshinotyoshino@toyo.jpAtsushi Matsuokaamatsuoka@geo.sc.niigata-u.ac.jpNaoko Kishimotokishimoto@mec.setsunan.ac.jp<p>This paper discusses the geometrical properties of a radiolarian skeletal structure, namely, that of genus <em>Didymocyrtis</em>. We characterized the evolution of skeletal structures and analyzed the structures using geometry. We defined two ratios in order to quantify the geometrical properties of <em>Didymocyrtis</em> and verified that the two ratios changed with their phylogenic evolution. We also used the 3D skeletal data of a specimen of species <em>D. tetrathalamus</em>, which were obtained through micro X-ray CT. The cortical shell obtained in the 3D data was projected onto a spherical surface, and we determined the centers of the pores. Our analysis revealed that the number of pores is approximately 200 and their distribution is not regular. We also determined that the column-like parts of the skeleton, which connect the inner and upper parts of the specimen, do not lie on a plane and their intervals are not equal.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereologyhttps://www.ias-iss.org/ojs/IAS/article/view/2197Endpoint Detection of Partially Overlapping Straight Fibers using High Positive Gaussian Curvature in 3D images2019-12-16T11:57:40+00:00Markus Kronenbergermarkus.kronenberger@itwm.fhg.deKatja Schladitzkatja.schladitz@itwm.fraunhofer.deOliver Wirjadiowirjadi@gmail.comChristopher Weberchristopherweber80@gmail.comBernd Hamannhamann@cs.ucdavis.eduHans Hagenhagen@cs.uni-kl.de<p>This paper introduces a method for detecting endpoints of partially overlapping straight fibers in three-dimensional voxel image data. The novel approach directly determines fiber endpoints without the need for more expansive single-fiber segmentation. In the context of fiber-reinforced polymers, endpoint information is of practical significance as it can indicate potential damage in endless fiber systems, or can serve as input for estimating statistical fiber length distribution. We tackle this challenge by exploiting Gaussian curvature of the surface of the fibers. Fiber endpoints have high positive curvature, allowing one to distinguish them from the rest of a structure. Accuracy data of the proposed method are presented for various data sets. For simulated fiber systems with fiber volume fractions of less than 20 %, true positive rates above 94 % and false positive rates below 5 % are observed. Two well-resolved real data sets show a reduction of the first rate to 90.3 % and an increase of the second rate to 13.1 %.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereologyhttps://www.ias-iss.org/ojs/IAS/article/view/1701Volume Tensor Estimation Using a Virtual Line Grid: Study of a Developing Pheasant Brain2020-01-19T21:49:45+00:00Jiri Janacekjanacek@biomed.cas.czDaniel Jirakdaji@ikem.cz<p>The volume tensor provides a robust estimate of the shape and orientation of an object in space. In this paper, we introduce Fakir method for estimating the tensor of an object in 3D data set based on the intersections of objects boundary with virtual lines. We calculate the precision of shape estimates by predicting the variance of estimators of integrals based on systematic sampling. To demonstrate the ability of the Fakir method, we measure changes in shape and orientation of compartments in the pheasant brain during development.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereologyhttps://www.ias-iss.org/ojs/IAS/article/view/2218Variance of the Isotropic Uniform Systematic Sampling2019-12-16T11:57:40+00:00Jiri Janacekjanacek@biomed.cas.czDaniel Jirakdaji@ikem.cz<p>The integral of a smooth function with bounded support over a set with finite perimeter in Euclidean space ℝ<sup><em>d</em></sup> is estimated using a periodic grid in an isotropic uniform random position. Extension term in the estimator variance is proportional to the integral of the squared modulus of the function over the object boundary and to the grid scaling factor raised to the power of <em>d</em>+1. Our result generalizes the Kendall-Hlawka-Matheron formula for the variance of the isotropic uniform systematic estimator of volume.</p>2019-12-13T17:19:06+00:00Copyright (c) 2019 Image Analysis & Stereology