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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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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1725714653542088704 |