This paper presents an automated and effective method for detecting 3D edges and tracing feature lines from 3D-point clouds. This method is named Analysis of Geometric Properties of Neighborhoods (AGPN), and it includes two main steps: edge detection and feature line tracing. In the edge detection step, AGPN analyzes geometric properties of each query point’s neighborhood, and then combines RAN...

When images are to be used in different areas of image analysis such as object recognition, it is important to reduce the amount of data in the image while preserving the important, characteristic, structural information. Edge detection makes it possible to reduce the amount of data in an image considerably. However the output from an edge detector is still a image described by it’s pixels. If ...

Laser data and optical data have a complementary nature to 3D features’ extraction. Building reconstruction by fusion of the two data sources can reduce the complexity of approaches from either side. In this paper we present a model refinement method, which uses the strong lines extracted from close-range images to improve building models reconstructed from terrestrial laser point clouds. First...

We consider the polynuclear growth model (PNG) in 1+1 dimension with flat initial condition and no extra constraints. Through the Robinson-Schensted-Knuth (RSK) construction, one obtains the multilayer PNG model, which consists of a stack of non-intersecting lines, the top one being the PNG height. The statistics of the lines is translation invariant and at a fixed position the lines define a p...

In this research paper, we present a novel frame work for handling $m$-polar information by combining the theory of $m-$polar fuzzy  sets with graphs. We introduce certain types of edge regular $m-$polar fuzzy graphs and edge irregular $m-$polar fuzzy graphs. We describe some useful properties of edge regular, strongly edge irregular and strongly edge totally irregular $m-$polar fuzzy graphs. W...

Automatic target recognition technology is an important research direction in the field of machine vision. Artificial ground targets, such as bridges, airports and houses, are mostly composed straight lines. The ratio geometric primitive lines to triangle area formed by their combination used feature quantity describe group lines, so characterize artificial target. In view shortcomings traditio...

As number of cancer patients increasing, the chemotherapy treatments are also increasing. This analysis aims to provide a cutting-edge outline antineoplastic medications extracted from streptomyces. Streptomyces main source antibiotic production. Antineoplastic moderate pace tumor development and postpone metastasis. The utilization performance methods discussed, with focus on drugs. produces c...

In this contribution we describe a system to generate dense depth maps from image sequences recorded from a camera mounted on a robot. Two color images of the sequence are treated as a stereo pair. A color edge detector is applied, lines are segmented from the edge images, and approximations as sequences of straight lines and circular arcs are computed. An initial depth map results from lines o...

Accurate road asphalt extent delineation is needed for road and street planning, road maintenance, and road safety assessment. In this article, a new approach for automatic roadside delineation is developed based on the line clouds concept. The method relies on line cloud grouping from point cloud laser data. Using geometric criteria, the initial 3D LiDAR point data is structured in lines cover...

Let L be a family of n blue lines in the real projective plane. Suppose that R is a collection of m red lines, different from the blue lines, and it is known that every edge in the arrangement A(L) is crosses by a line in R. We show that m ≥ n−1 3.5 . Our result is more general and applies to pseudo-line arrangements A(L), and even weaker assumptions are required for R.