Histogram adjustment of images for improving photogrammetric reconstruction
Authors:
- Piotr Łabędź,
- Krzysztof Skabek,
- Paweł Ozimek,
- Mateusz Nytko
Abstract
The accuracy of photogrammetric reconstruction depends largely on the acquisition conditions and on the quality of input photographs. This paper proposes methods of improving raster images that increase photogrammetric reconstruction accuracy. These methods are based on modifying color image histograms. Special emphasis was placed on the selection of channels of the RGB and CIE L*a*b* color models for further improvement of the reconstruction process. A methodology was proposed for assessing the quality of reconstruction based on premade reference models using positional statistics. The analysis of the influence of image enhancement on reconstruction was carried out for various types of objects. The proposed methods can significantly improve the quality of reconstruction. The superiority of methods based on the luminance channel of the L*a*b* model was demonstrated. Our studies indicated high efficiency of the histogram equalization method (HE), although these results were not highly distinctive for all performed tests.
- Record ID
- CUT15ed3369f7c246319bcbb8422225727b
- Publication categories
- ;
- Author
- Journal series
- Sensors, ISSN , e-ISSN 1424-8220, Biweekly
- Issue year
- 2021
- Vol
- 21
- No
- 14
- Pages
- [1-20]
- Article number
- 4654
- Other elements of collation
- fot.; schem.; tab.; wykr.; Bibliografia (na s.) - 19-20; Bibliografia (liczba pozycji) - 52; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 21, Iss. 14, Spec. Iss.
- Substantive notes
- Special Issue: Innovations in Photogrammetry and Remote Sensing: Modern Sensors, New Processing Strategies and Frontiers in Applications
- Keywords in English
- photogrammetry, preprocessing, enhancement, point cloud, 3D reconstruction, image processing, image histogram
- DOI
- DOI:10.3390/s21144654 Opening in a new tab
- URL
- https://www.mdpi.com/1424-8220/21/14/4654/htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 100
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT15ed3369f7c246319bcbb8422225727b/
- URN
urn:pkr-prod:CUT15ed3369f7c246319bcbb8422225727b
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.