Publication detail

Definition of Typical Textures of Sedimentary Grains Using Co-occurrence Features And K-means Clustering Technique

KŘUPKA, A.

Original Title

Definition of Typical Textures of Sedimentary Grains Using Co-occurrence Features And K-means Clustering Technique

English Title

Definition of Typical Textures of Sedimentary Grains Using Co-occurrence Features And K-means Clustering Technique

Type

journal article - other

Language

en

Original Abstract

The paper deals with a definition of typicalstructure forms, which can be extracted from the surface of sedimentary grains. The co-occurrence features are used for this purpose. To find typical patterns, the K-means clustering technique is used to group related data in feature space. Then,it is visually investigated if related data in feature space are also related when being perceived by human. The scheme for a specific grain texture definition is proposed and three models of grain textures are experimentally created. The first model involves especially significant grain corners and edges, the second model involves homogeneous parts of a grain, the third model can be used for coarse and abraded surface recognition.

English abstract

The paper deals with a definition of typicalstructure forms, which can be extracted from the surface of sedimentary grains. The co-occurrence features are used for this purpose. To find typical patterns, the K-means clustering technique is used to group related data in feature space. Then,it is visually investigated if related data in feature space are also related when being perceived by human. The scheme for a specific grain texture definition is proposed and three models of grain textures are experimentally created. The first model involves especially significant grain corners and edges, the second model involves homogeneous parts of a grain, the third model can be used for coarse and abraded surface recognition.

Keywords

Texture, sedimentary grains, co-occurrence matrix, K-means, clustering

RIV year

2013

Released

02.04.2013

ISBN

1805-5443

Periodical

International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems

Year of study

2

Number

2

State

CZ

Pages from

68

Pages to

72

Pages count

5

Documents

BibTex


@article{BUT99290,
  author="Aleš {Křupka}",
  title="Definition of Typical Textures of Sedimentary Grains Using Co-occurrence Features And K-means Clustering Technique",
  annote="The paper deals with a definition of typicalstructure forms, which can be extracted from the surface of sedimentary grains. The co-occurrence features are used for this purpose. To find typical patterns, the K-means clustering technique is used to group related data in feature space. Then,it is visually investigated if related data in feature space are also related when being perceived by human. The scheme for a specific grain texture definition is proposed and three models of grain textures are experimentally created. The first model involves especially significant grain corners and edges, the second model involves homogeneous parts of a grain, the third model can be used for coarse and abraded surface recognition.",
  chapter="99290",
  number="2",
  volume="2",
  year="2013",
  month="april",
  pages="68--72",
  type="journal article - other"
}