Pre-Processing Medical Images for Improving Segmentation Techniques

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F06%3APU54375" target="_blank" >RIV/00216305:26220/06:PU54375 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Pre-Processing Medical Images for Improving Segmentation Techniques

Original language description

This paper introduces an image pre-processing technique for the augmentation of segmentation of medical images. Segmentation and classification are important procedures in medical image analysis especially for radiological evaluation or computer-aided diagnosis. Segmentation is a pixel classification technique that allows the formation of regions of similarities in the image. Image segmentation methods can be broadly classified into three categories: boundary-based techniques, region-based techniques, and pixel-based direct classification methods. In practice, region-based methods are mostly used. They are typically very fast and easy to manipulate. To improve performance of region-based methods and their results, pre-processing techniques are usuall yrequired.

Czech name

Předzpracování medicínských obrazů pro zlepšení segmentačních technik

Czech description

This paper introduces an image pre-processing technique for the augmentation of segmentation of medical images. Segmentation and classification are important procedures in medical image analysis especially for radiological evaluation or computer-aided diagnosis. Segmentation is a pixel classification technique that allows the formation of regions of similarities in the image. Image segmentation methods can be broadly classified into three categories: boundary-based techniques, region-based techniques, and pixel-based direct classification methods. In practice, region-based methods are mostly used. They are typically very fast and easy to manipulate. To improve performance of region-based methods and their results, pre-processing techniques are usuall yrequired.

Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

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

Article name in the collection

Analysis of Biomedical Signals and Images

ISBN

80-214-2633-0

ISSN

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e-ISSN

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Number of pages

3

Pages from-to

312-314

Publisher name

Vutium Press

Place of publication

Brno

Event location

Brno

Event date

Jun 28, 2006

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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