Sentence examples for centerline from from inspiring English sources

In this paper, a method for automatic extraction of road centerline from high resolution satellite image is proposed.

This allows us to decouple errors in estimating the position of the crack centerline from errors in estimating the crack width, which is more sensitive to lighting variations.

Having detected possible fiber center point candidates, the algorithm starts the tracing process in order to extract a centerline from the fibers.

Scaling was estimated across centerline from maximum to minimum scale using linear interpolation.

Using a similar technique, Lu et al. also simulated digital lateral radiographs using 3D femoral models; however, these authors extracted the centerline from the exterior of the femur rather than the medullary canal, resulting in different findings that the curvature of the distal third was the greatest, followed by the proximal third and middle third [ 6].

An approach based on fuzzy logic and trivial opening is proposed; to extract main road centerlines from pan-sharpened IKONOS images, it is presented by Ali et al. [31].

Additionally, accurate centerline delineation from the ChanGeom methodology provides improved sinuosity measurements, and when fused with coarse resolution digital elevation models (DEMs), removes along-profile shortening and coincident increases in reach-scale channel slope.

Zelang et al. [21] proposed a method for road centerline extraction from classified image which consists of the three stages: feature points are extracted using tensor voting, kernel density estimation is used to find probability of each pixel being located on the road centerline, and feature points are projected onto ridge lines using the subspace constrained mean shift method.

The identification between the joint points and the branch points is essential for centerline extraction from vascular point set.

These 163,886 addresses were street geocoded using a 1 5,000 street centerline network from Orange County for 2005 and parcel geocoded using a 1 2,000 parcel database of the Property Appraisers Office of Orange County for 2005, both using ArcGIS 9®.

We geocoded the schools using a 1 5,000 street centerline network from Orange County for 2005 (Orange County Growth Management 2005) and the TIGER 2000 streets from the U.S. Census Bureau (2000), both using ArcGIS 9. Identical settings were employed, including address locator style, field types used in the address locator, minimum match score, and spelling sensitivity.