New algorithm for biological objects' shape evaluation and data reduction

The paper presents the software procedure (using MAPLE 11) intended for considerable reduction of digital image data set to more easily treatable extent. The example with image of peach stone is presented. Peach stone, displayed on the digital photo, was represented as a polygon described by the coo...

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Main Authors: Stanislav Bartoň, Libor Severa, Jaroslav Buchar
Format: Article
Language:English
Published: Mendel University Press 2010-01-01
Series:Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Subjects:
Online Access:https://acta.mendelu.cz/58/1/0013/
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spelling doaj-82a22af419bb4fdfba33889281e576962020-11-24T22:38:07ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102010-01-01581132010.11118/actaun201058010013New algorithm for biological objects' shape evaluation and data reductionStanislav Bartoň0Libor Severa1Jaroslav Buchar2Ústav techniky a automobilové dopravy, Mendelova zemědělská a lesnická univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republikaÚstav techniky a automobilové dopravy, Mendelova zemědělská a lesnická univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republikaÚstav techniky a automobilové dopravy, Mendelova zemědělská a lesnická univerzita v Brně, Zemědělská 1, 613 00 Brno, Česká republikaThe paper presents the software procedure (using MAPLE 11) intended for considerable reduction of digital image data set to more easily treatable extent. The example with image of peach stone is presented. Peach stone, displayed on the digital photo, was represented as a polygon described by the coordinates of the pixels creating its perimeter. The photos taken in high resolution (and corresponding data sets) contain coordinates of thousands of pixels - polygon's vertexes. Presented approach substitutes this polygon by the new one, where smaller number of vertexes is used. The task is solved by use of adapted least squares method. The presented algorithm enables reduction of number of vertexes to 10 % of its original extent with acceptable accuracy +/− one pixel (distance between initial and final polygon). The procedure can be used for processing of similar types of 2D images and acceleration of following computations.https://acta.mendelu.cz/58/1/0013/image processingdata reductionleast square method
collection DOAJ
language English
format Article
sources DOAJ
author Stanislav Bartoň
Libor Severa
Jaroslav Buchar
spellingShingle Stanislav Bartoň
Libor Severa
Jaroslav Buchar
New algorithm for biological objects' shape evaluation and data reduction
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
image processing
data reduction
least square method
author_facet Stanislav Bartoň
Libor Severa
Jaroslav Buchar
author_sort Stanislav Bartoň
title New algorithm for biological objects' shape evaluation and data reduction
title_short New algorithm for biological objects' shape evaluation and data reduction
title_full New algorithm for biological objects' shape evaluation and data reduction
title_fullStr New algorithm for biological objects' shape evaluation and data reduction
title_full_unstemmed New algorithm for biological objects' shape evaluation and data reduction
title_sort new algorithm for biological objects' shape evaluation and data reduction
publisher Mendel University Press
series Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
issn 1211-8516
2464-8310
publishDate 2010-01-01
description The paper presents the software procedure (using MAPLE 11) intended for considerable reduction of digital image data set to more easily treatable extent. The example with image of peach stone is presented. Peach stone, displayed on the digital photo, was represented as a polygon described by the coordinates of the pixels creating its perimeter. The photos taken in high resolution (and corresponding data sets) contain coordinates of thousands of pixels - polygon's vertexes. Presented approach substitutes this polygon by the new one, where smaller number of vertexes is used. The task is solved by use of adapted least squares method. The presented algorithm enables reduction of number of vertexes to 10 % of its original extent with acceptable accuracy +/− one pixel (distance between initial and final polygon). The procedure can be used for processing of similar types of 2D images and acceleration of following computations.
topic image processing
data reduction
least square method
url https://acta.mendelu.cz/58/1/0013/
work_keys_str_mv AT stanislavbarton newalgorithmforbiologicalobjectsshapeevaluationanddatareduction
AT liborsevera newalgorithmforbiologicalobjectsshapeevaluationanddatareduction
AT jaroslavbuchar newalgorithmforbiologicalobjectsshapeevaluationanddatareduction
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