Publication detail

Using of Low-level Features for Water Area Identication in Images

ČÍKA, P. FU, D.

Original Title

Using of Low-level Features for Water Area Identication in Images

English Title

Using of Low-level Features for Water Area Identication in Images

Type

journal article - other

Language

en

Original Abstract

Low-level features of an image can be used for various types of object recognition. In this paper, the methods for water areas recognition are described. Combinations of various low-level features have been tested and are introduced in the first part of this paper. All the low-level features are acquired from selected pixels of the image. After low-level features are acquired, the evolutionary algorithms must be used. The low-level features are used as the input variables for evolutionary algorithms. Hundred images have been used for testing of the proposed algorithms. The final part of this paper consists of results from testing of the proposed algorithms.

English abstract

Low-level features of an image can be used for various types of object recognition. In this paper, the methods for water areas recognition are described. Combinations of various low-level features have been tested and are introduced in the first part of this paper. All the low-level features are acquired from selected pixels of the image. After low-level features are acquired, the evolutionary algorithms must be used. The low-level features are used as the input variables for evolutionary algorithms. Hundred images have been used for testing of the proposed algorithms. The final part of this paper consists of results from testing of the proposed algorithms.

Keywords

low-level features, water area identification

RIV year

2011

Released

01.04.2011

Publisher

Vysoké učení technické v Brně

Location

Brno

Pages from

44

Pages to

48

Pages count

5

BibTex


@article{BUT50978,
  author="Petr {Číka} and Dongmei {Fu}",
  title="Using of Low-level Features for Water Area Identication in Images",
  annote="Low-level features of an image can be used for various types of object recognition. In this paper, the methods for water areas recognition are described. Combinations of various low-level features have been tested and are introduced in the first part of this paper. All the low-level features are acquired from selected pixels of the image. After low-level features are acquired, the evolutionary algorithms must be used. The low-level features are used as the input variables for evolutionary algorithms. Hundred images have been used for testing of the proposed algorithms. The final part of this paper consists of results from testing of the proposed algorithms.",
  address="Vysoké učení technické v Brně",
  chapter="50978",
  institution="Vysoké učení technické v Brně",
  journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)",
  number="02",
  volume="2011",
  year="2011",
  month="april",
  pages="44--48",
  publisher="Vysoké učení technické v Brně",
  type="journal article - other"
}