Estimation of the Number of Apples in Color Images Recorded in Orchards - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Estimation of the Number of Apples in Color Images Recorded in Orchards

(1) , (1) , (2)
1
2
Oded Cohen
  • Function : Author
  • PersonId : 1012437
Amos Naor
  • Function : Author
  • PersonId : 1012439

Abstract

This work presents an algorithm for estimating the number of apples on trees using images acquired with a standard color CCD camera. The proposed system is capable of correctly identifying and localizing more than 85% of the apples in the images. To achieve this high detection rate, color and texture analyses are combined together with shape analysis. In the first step, pixels with a high probability of belonging to an "apple object" are detected according to their color and texture. In the second step, "seed areas" consisting of connected sets of pixels with a high probability of belonging to an apple object are detected. Each seed area is then extended to cover the entire visible area of the apple to which it belongs. Finally, each blob is segmented into simple components that can either be combined into circles or are discarded, so that each of the resulting circles corresponds to an apple.
Fichier principal
Vignette du fichier
978-3-642-18333-1_77_Chapter.pdf (2.05 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01559613 , version 1 (10-07-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Oded Cohen, Raphael Linker, Amos Naor. Estimation of the Number of Apples in Color Images Recorded in Orchards. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.630-642, ⟨10.1007/978-3-642-18333-1_77⟩. ⟨hal-01559613⟩
48 View
63 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More