A Fourier Descriptor of 2D Shapes Based on Multiscale Centroid Contour Distances Used in Object Recognition in Remote Sensing Images.
fourier transform
object recognition
shape descriptor
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
24 Jan 2019
24 Jan 2019
Historique:
received:
10
12
2018
revised:
27
12
2018
accepted:
15
01
2019
entrez:
27
1
2019
pubmed:
27
1
2019
medline:
27
1
2019
Statut:
epublish
Résumé
A shape descriptor is an effective tool for describing the shape feature of an object in remote sensing images. Researchers have put forward a lot of excellent descriptors. The discriminability of some descriptors is very strong in the experiments, but usually their computational cost is large, which makes them unsuitable to be used in practical applications. This paper proposes a new descriptor-FMSCCD (Fourier descriptor based on multiscale centroid contour distance)-which is a frequency domain descriptor based on the CCD (centroid contour distance) method, multiscale description, and Fourier transform. The principle of FMSCCD is simple, and the computational cost is very low. What is commendable is that its discriminability is still strong, and its compatibility with other features is also great. Experiments on three databases demonstrate its strong discriminability and operational efficiency.
Identifiants
pubmed: 30682865
pii: s19030486
doi: 10.3390/s19030486
pmc: PMC6387127
pii:
doi:
Types de publication
Journal Article
Langues
eng
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
Références
IEEE Trans Pattern Anal Mach Intell. 2007 Feb;29(2):286-99
pubmed: 17170481
IEEE Trans Image Process. 2012 May;21(5):2747-57
pubmed: 21965213
IEEE Trans Image Process. 2012 Nov;21(11):4667-72
pubmed: 22875247
IEEE Trans Pattern Anal Mach Intell. 2016 Jan;38(1):1-13
pubmed: 27030844