Research on rice (Oryza sativa) roots demands the automatic analysis of root architecture during image processing. It is challenging for a digital filter to identify from obscure and cluttered background. The original Frangi algorithm, presented by Alejandro F. in 1998, successful low-pass dedicated blood vessel enhancement. Considering similarity between vessels roots, algorithm applied outlin...

A crystal plasticity based full-field microstructure simulation approach is used to virtually determine mechanical properties of sheet metals. Microstructural features like the specific grain morphology and the crystallographic texture are taken into account to predict the plastic anisotropy. A special focus is on the determination of the Lankford coefficients and on the yield surface under pla...

The aim of this study was to investigate the usefiilness of gray scale morphological analysis in the assessment of atherosclerotic carotid plagues. Ultrasound images were recorded from 137 asymptomatic and 137 symptomatic plaques (Stroke, Transient Ischaemic Attack -TIA, Amaurosis Fugax-AF). The morphological pattern spectra of gray scale images were computed and two different classifiers named...

Filtering is a crucial step in lidar data processing. The Edge-based Morphological (EM) filtering method proposed by Chen et al. (2007, Photogrammetric Engineering and Remote Sensing, 73, pp. 175–185) is fast and can be applied to different land use and land cover types. However, it requires a large number of parameters. It is challenging for average users to tune these parameters without a goo...

The extension of mathematical morphology to multivalued images is an important issue. This is particularly true in the context of connected operators based on morphological hierarchies, which aim to provide efficient image filtering and segmentation tools in various application fields, e.g.(bio)medical imaging, remote sensing, or astronomy. In this article, we propose a preliminary study that d...

This paper presents a modified hidden Markov model (HMM) filtering algorithm for detecting multiple dim targets in image sequence under low SNR condition. The proposed algorithm consists of three steps. As a first step, morphological filtering is applied for extracting features in pre-processing level. The second step is a hidden Markov model filter. To enhance a detecting performance of the fi...