Texture detection in noisy images by combining several local parameters
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 230-233 |
| Number of pages | 4 |
| ISBN (Electronic) | 9789669751928 |
| DOIs | |
| Publication status | Published - 14 Dec 2015 |
| Publication type | A4 Article in a conference publication |
| Event | 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Kharkiv, Ukraine Duration: 13 Oct 2015 → 15 Oct 2015 |
Conference
| Conference | 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 |
|---|---|
| Country | Ukraine |
| City | Kharkiv |
| Period | 13/10/15 → 15/10/15 |
Abstract
A problem of detecting textural areas in images corrupted by noise is considered. Detection is based on joint use of several local parameters calculated in scanning windows (blocks) of different size. Trained support vector machine (SVM) classifier is used for combining local parameters. Factors that influence detector performance are analyzed. It is shown that detector performance can be improved by taking into account information from classifier output for neighbor pixels.
ASJC Scopus subject areas
Keywords
- image, local parameters, noise, SVM, texture detection