Gabor filter and graph cut based texture analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F12%3A43916384" target="_blank" >RIV/49777513:23520/12:43916384 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1134/S1054661812010208" target="_blank" >http://dx.doi.org/10.1134/S1054661812010208</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1134/S1054661812010208" target="_blank" >10.1134/S1054661812010208</a>

Result language

angličtina

Original language name

Gabor filter and graph cut based texture analysis

Original language description

This paper describes a method for texture based segmentation. Texture features are extracted by applying a bank of Gabor filters using twosided convolution strategy. Probability texture model is represented by Gaussian mixture that is trained with the Expectation maximization algorithm. Texture similarity, obtained this way, is used like the input of a Graph cut method. We show that the combination of texture analysis and the Graph cut method produce good results.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

—

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Pattern Recognition and Image Analysis

ISSN

1054-6618

e-ISSN

—

Volume of the periodical

22

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

6

Pages from-to

215-220

UT code for WoS article

—

EID of the result in the Scopus database

—