Detection of the pomegranate fruits on tree using image processing

Cihan Akin*, Murvet Kirci, Ece Olcay Gunes, Yuksel Cakir

*Bu çalışma için yazışmadan sorumlu yazar

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24 Atıf (Scopus)

Özet

In this study a method is proposed for detect pomegranate fruits on the tree and find the number of overall pomegranates using near camera images obtained from the stations established the groves. The pomegranate has significant red color, so a color-based method is applied for to detect the fruits on the tree. Color alone cannot provide a sufficiently robust algorithm for the detection of the pomegranate. Therefore a robust detection strategy will need to incorporate other properties of the pomegranate than just color. Pomegranate in general tends to have a round shape, where as tree branches and leaves tend to have more straight or pointed shapes. Looking for round objects can be a simple way to detect fruit. The fruit segmentation based on machine vision contains some problems (lighting and occlusion). In the proposed method these problems are also examined.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2012 1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012
Sayfalar632-636
Sayfa sayısı5
DOI'lar
Yayın durumuYayınlandı - 2012
Etkinlik1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012 - Shanghai, China
Süre: 2 Ağu 20124 Ağu 2012

Yayın serisi

Adı2012 1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012

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???event.eventtypes.event.conference???1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012
Ülke/BölgeChina
ŞehirShanghai
Periyot2/08/124/08/12

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