Airborne laser scanning (ALS) data are usually considered not to be very informative with respect to tree species, and the information needed regarding these is often obtained by combining the ALS data with spectral image material. This study employed tree species segmentation based on variables derived solely from ALS point clouds to test the ability of height, density, and applied 3D texture ...

This paper introduces an algorithm for robust segmentation of airway-tissue boundaries in the upper airway images recorded by the real-time magnetic resonance imaging. Compared to the previous method by Proctor et al. [1], the present algorithm performs image quality enhancement, including pixel sensitivity correction and grainy noise reduction, followed by robust estimation of airway path betw...

this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...

Tree-structured Markov random fields have been recently proposed in order to model complex images and to allow for their fast and accurate segmentation. By modeling the image as a tree of regions and subregions, the original K-ary segmentation problem can be recast as a sequence of reduced-dimensionality steps, thus reducing computational complexity and allowing for higher spatial adaptivity. U...

We propose an algorithm for building 3D models of the airway tree from Computed Tomographic (CT) images. Our procedure first computes a set of core points that tend to concentrate along the centerlines of the airway tree branches. This point set, after a filtering step, is used to build a set of wall points that concentrate on the walls of the airways. Finally, a triangulated surface is build f...

BACKGROUND This paper proposes a semantic segmentation algorithm that provides the spatial distribution patterns of pulmonary ground-glass nodules with solid portions in computed tomography (CT) images. METHODS The proposed segmentation algorithm, anatomy packing with hierarchical segments (APHS), performs pulmonary nodule segmentation and quantification in CT images. In particular, the APHS ...

Effective knowledge and awareness of customers require the market segmentation, through which the customers who have the same needs and purchasing patterns as well as the same response to marketing plans are identified. The selection of a proper variable is a requirement, among other, for a successful market segmentation. In today' world, on one hand, the consumers are bombarded with new goods ...

Asthma is a variable disease with changes in symptoms and airway function over many time scales. Airway resistance (Raw) is variable and thought to reflect changes in airway smooth muscle activity, but just how variation throughout the airway tree and the influence of gas distribution abnormalities affect Raw is unclear. We used a multibranch airway lung model to evaluate variation in airway di...