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Fruit detection with binary partition trees (İkili bölüntü ağaçları ile meyve tespiti)

Özdemir, Murat Can and Aptoula, Erchan and Yanıkoğlu, Berrin (2016) Fruit detection with binary partition trees (İkili bölüntü ağaçları ile meyve tespiti). In: 24th Signal Processing and Communication Application Conference (SIU), Zonguldak

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Official URL: http://dx.doi.org/10.1109/SIU.2016.7496082

Abstract

In this study, binary partition trees are applied to the problem of fruit detection. The fact that binary partition trees are inherently unbiased and independent of flatzones is the main reason for this application. Using only circularity from the shape priors, this system is put to test with 39 images of three classes of fruits and the test results show an average of 0.669 precision and 0.851 recall.

Item Type:Papers in Conference Proceedings
Subjects:UNSPECIFIED
ID Code:29407
Deposited By:Berrin Yanıkoğlu
Deposited On:03 Aug 2016 15:35
Last Modified:03 Aug 2016 15:35

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