Robust Grid Detection in Historical Map Images

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966586" target="_blank" >RIV/49777513:23520/22:43966586 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9897721" target="_blank" >https://ieeexplore.ieee.org/document/9897721</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICIP46576.2022.9897721" target="_blank" >10.1109/ICIP46576.2022.9897721</a>

Result language

angličtina

Original language name

Robust Grid Detection in Historical Map Images

Original language description

This paper presents a novel method for grid detection in historical maps. The approach is based on Hough transform accompanied with a sophisticated post-processing. They are applied to detect the grid that consists of graticule lines. It works without any training and does not require any annotated data. The proposed approach is very efficient in detecting the rectangular grid and the intersection points as shown in the international &quot;MapSeg&quot; segmentation competition, where it won the Task 3 with a significant margin. The robustness of the proposed method has been demonstrated by evaluating on another dataset composed of significantly different cadastral map images with excellent results.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2022 IEEE International Conference on Image Processing (ICIP)

ISBN

978-1-66549-620-9

ISSN

1522-4880

e-ISSN

2381-8549

Number of pages

5

Pages from-to

1931-1935

Publisher name

IEEE

Place of publication

New York

Event location

Bordeaux

Event date

Oct 16, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001058109502009