Research Highlights in Ias

Abstract

We are reviewing and commenting highlights of the research published in Image Analysis and Stereology journal (IAS), volume 35, where 16 original research papers on image analysis, computer vision, modelling, and other approaches were published. We have reported on the precision of curve length estimation in the plane. Further, a focus was on a robust estimation technique for 3D point cloud registration. Next contribution in computer vision was on the accuracy of stereo matching algorithm based on illumination control. An attempt was also made to automatically diagnose prenatal cleft lip with representative key points and identify the type of defect in three-dimensional ultrasonography. Similarly, a new report is presenting estimation of torsion of digital curves in 3D images and next, the nuchal translucency by ultrasound is being analyzed. Also in ophthalmology, image analysis may help physicians to establish a correct diagnosis, which is supported by a new approach to measure tortuosity of retinal vessel. Another report of medical significance analyzed correlation of the shape parameters for characterization of images of corneal endothelium cells. Shape analysis is also an important topic in material science, e.g. in analyzing fine aggregates in concrete. As in concrete, in fiber reinforced composites image analysis may aid in improved quality, where the direction of fibers have decisive impact on properties. Automatic defect detection using a computer vision system improves productivity quality in industrial production, hence we report of a new Haar wavelet-based approach.Keywords: computer vision, image analysis, process modelling, stereologyIn the first issue of the volume 35 in 2016 we reported on the precision of curve length estimation in the plane. The study was based on the intersection counting with a square grid, called the BuffonSteinhaus estimator. This is relatively straightforward, design unbiased and efficient approach. The outstanding task was the prediction of its error variance from a single grid superimposition. Authors considered nine curvilinear features -that is flattened DNA molecule projections. Authors explain that the performance of their variance prediction formula is well suited for practical use (Gomez et al., 2016).Further, a focus was on a robust estimation technique for 3D point cloud registration. Usually, the 3D vision applications require a complete or registered 3D image of the object. The automatic pairwise coarse alignment of partially overlapping 3D images is performed. We reported on a novel algorithm for the 3D registration task which is faster and more accurate than the usual RANSAC (Random Sample Consensus) algorithm (Pankaj and Nidamanuri, 2016). Next contribution in computer vision was on the accuracy of stereo matching algorithm based on illumination control. It is a new method of pixel based stereo matching algorithm. The standard algorithm for absolute difference is fast but lacs precision at low texture areas and is sensitive to radiometric distortions....

Image Analysis & Stereology: 2017 Research Highlights

“…An overview of the contributions with the corresponding fields of study is provided in Table 1. According to the overview of the IAS research highlights in volume 35 (2016) by the IAS editor-in-chief (Kreft, 2017), in 2017 an increase of contributions in comparison to the year before was noticed (i.e., 22 vs. 16), however, the number of original research papers was approximately the same (i.e., 16 vs. 15), as all four review papers are part of the special topic entitled "The History of Stereology" that was published in issue 3 and guest edited by Dr. Aneta Gądek-Moszczak from the Cracow University of Technology, Poland. In the following sections, a detailed overview of the contributions of IAS volume 36 (2017) is presented.…”