publication . Article . Other literature type . 2013

Automatic Moment-Based Texture Segmentation

Tudor Barbu;
Open Access English
  • Published: 06 Nov 2013
Abstract
An automatic moment-based texture segmentation approach is proposed in this paper. First, we describe the related work in this computer vision domain. Our texture feature extraction, the first part of the texture recognition process, produces a set of moment-based feature vectors. For each image pixel, a texture feature vector is computed as a sequence of area moments. Second, an automatic pixel classification approach is proposed. The feature vectors are clustered using some unsupervised classification algorithm, the optimal number of clusters being determined using a measure based on validation indexes. From the resulted pixel classes one determines easily the...
Subjects
arXiv: Computer Science::Computer Vision and Pattern Recognition
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputingMethodologies_COMPUTERGRAPHICS
free text keywords: Image segmentation, moment-based texture analysis, automatic classification, validity indexes.
Download fromView all 7 versions
ZENODO
Article . 2013
Provider: ZENODO
Zenodo
Other literature type . 2013
Provider: Datacite
Zenodo
Other literature type . 2013
Provider: Datacite
Zenodo
Other literature type . 2013
Provider: Datacite
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue