Javascript must be enabled to continue!
Voronoi Centerline-Based Seamline Network Generation Method
View through CrossRef
Seamline network generation is a crucial step in mosaicking multiple orthoimages. It determines the topological and mosaic contribution area for each orthoimage. Previous methods, such as Voronoi-based and AVOD (area Voronoi)-based, may generate mosaic holes in low-overlap and irregular orthoimage cases. This paper proposes a Voronoi centerline-based seamline network generation method to address this problem. The first step is to detect the edge vector of the valid orthoimage region; the second step is to construct a Voronoi triangle network using the edge vector points and extract the centerline of the network; the third step is to segment each orthoimage by the generated centerlines to construct the image effective mosaic polygon (EMP). The final segmented EMP is the mosaic contribution region. All EMPs are interconnected to form a seamline network. The main contribution of the proposed method is that it solves the mosaic holes in the Voronoi-based method when processing with low overlap, and it solves the limitation of the AVOD-based method polygon shape requirement, which can generate a complete mosaic in any overlap and any shape of the orthoimage. Five sets of experiments were conducted, and the results show that the proposed method surpasses the well-known state-of-the-art method and commercial software in terms of adaptability and effectiveness.
Title: Voronoi Centerline-Based Seamline Network Generation Method
Description:
Seamline network generation is a crucial step in mosaicking multiple orthoimages.
It determines the topological and mosaic contribution area for each orthoimage.
Previous methods, such as Voronoi-based and AVOD (area Voronoi)-based, may generate mosaic holes in low-overlap and irregular orthoimage cases.
This paper proposes a Voronoi centerline-based seamline network generation method to address this problem.
The first step is to detect the edge vector of the valid orthoimage region; the second step is to construct a Voronoi triangle network using the edge vector points and extract the centerline of the network; the third step is to segment each orthoimage by the generated centerlines to construct the image effective mosaic polygon (EMP).
The final segmented EMP is the mosaic contribution region.
All EMPs are interconnected to form a seamline network.
The main contribution of the proposed method is that it solves the mosaic holes in the Voronoi-based method when processing with low overlap, and it solves the limitation of the AVOD-based method polygon shape requirement, which can generate a complete mosaic in any overlap and any shape of the orthoimage.
Five sets of experiments were conducted, and the results show that the proposed method surpasses the well-known state-of-the-art method and commercial software in terms of adaptability and effectiveness.
Related Results
Modified Voronoi Diagram and Algorithms for its Application in Practice
Modified Voronoi Diagram and Algorithms for its Application in Practice
The scope of application of the Voronoi diagram is quite diverse: artificial intelligence, urban systems, marketing, computer science and others. This is because the so-called spat...
FINITE ELEMENT ANALYSIS OF QUASI-STATIC CRUSH ENERGY IN CLOSED CELL ALUMINUM FOAM USING VORONOI TESSELLATION
FINITE ELEMENT ANALYSIS OF QUASI-STATIC CRUSH ENERGY IN CLOSED CELL ALUMINUM FOAM USING VORONOI TESSELLATION
A novel Voronoi closed-cell foam model was developed to perform finite element analysis (FEA) to accurately capture the stress-strain behaviors exhibited by real foam blocks under ...
Influence of Centerline Intermetallic Stringers on Pitting Corrosion Resistance of Superduplex Stainless Steel
Influence of Centerline Intermetallic Stringers on Pitting Corrosion Resistance of Superduplex Stainless Steel
Abstract
Superduplex stainless steel UNS S32750 / EN 1.4410 is commonly used in marine environment, petrochemical, oil and gas, chemical and desalination industries,...
2D Centroidal Voronoi Tessellations with Constraints
2D Centroidal Voronoi Tessellations with Constraints
We tackle the problem of constructing 2D centroidal Voronoi tessellations
with constraints through an efficient and robust construction of bounded Voronoi diagrams,
the pseudo-dual...
CAP-EOM-CCSD Method with Smooth Voronoi CAP for Metastable Electronic States in Molecular Clusters
CAP-EOM-CCSD Method with Smooth Voronoi CAP for Metastable Electronic States in Molecular Clusters
The complex absorbing potential (CAP) approach offers a practical tool for characterization of energies and lifetimes of metastable electronic states, such as temporary anions and ...
The Geodesic Edge Center of a Simple Polygon
The Geodesic Edge Center of a Simple Polygon
Abstract
The geodesic edge center of a simple polygon is a point c inside the polygon that minimizes the maximum geodesic distance from c to any edge of the polygon, wher...
Research on Network Similarity Comparison Method Based on Higher-Order Information
Research on Network Similarity Comparison Method Based on Higher-Order Information
Quantifying structural similarity between complex networks presents a fundamental and formidable challenge in network science, which plays a crucial role in various fields, such as...
Segmentation of Carotid Arteries By Graph-Cuts Using Centerline Models
Segmentation of Carotid Arteries By Graph-Cuts Using Centerline Models
In this paper, we present a semi-automtic method for segmenting carotid arteries in contrast enhanced (CE)-CT angiography (CTA) scans. The segmentation algorithm extracts the lumen...

