Kapak Resmi

TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images

Kaydedildi:
Yayımlandı:arXiv.org (Mar 26, 2024), p. n/a
Yazar: Yang, Liping
Diğer Yazarlar: Driscol, Joshua, Gong, Ming, Wang, Shujie, Potts, Catherine G
Baskı/Yayın Bilgisi:
Cornell University Library, arXiv.org
Konular:
Algorithms
Vector processing (computers)
Computer vision
Image processing
Sea ice
Robustness
Satellite imagery
Topology
Online Erişim:Citation/Abstract
Full text outside of ProQuest
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
Özet:Line detection is a classic and essential problem in image processing, computer vision and machine intelligence. Line detection has many important applications, including image vectorization (e.g., document recognition and art design), indoor mapping, and important societal challenges (e.g., sea ice fracture line extraction from satellite imagery). Many line detection algorithms and methods have been developed, but robust and intuitive methods are still lacking. In this paper, we proposed and implemented a topological graph-guided algorithm, named TGGLinesPlus, for line detection. Our experiments on images from a wide range of domains have demonstrated the flexibility of our TGGLinesPlus algorithm. We also benchmarked our algorithm with five classic and state-of-the-art line detection methods and the results demonstrate the robustness of TGGLinesPlus. We hope our open-source implementation of TGGLinesPlus will inspire and pave the way for many applications where spatial science matters.
ISSN:2331-8422
Kaynak:Engineering Database