@inproceedings{fcd54ddd9eae46078d6518fe3b1fdf19,
title = "Estimation of the number of apples in color images recorded in orchards",
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.",
keywords = "artificial vision, imagine processing, yield estimation",
author = "Oded Cohen and Raphael Linker and Amos Naor",
note = "Funding Information: The authors gratefully acknowledge the support from the National Natural Science Foundation of China (No. 51476031 and No. 51676040) and the Doctoral Fund of the Ministry of Education of China (No. 20130092110007).; 4th IFIP International Conference on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information, CCTA 2010 ; Conference date: 22-10-2010 Through 25-10-2010",
year = "2011",
doi = "10.1007/978-3-642-18333-1\_77",
language = "الإنجليزيّة",
isbn = "9783642183324",
series = "IFIP Advances in Information and Communication Technology",
number = "PART 1",
pages = "630--642",
booktitle = "Computer and Computing Technologies in Agriculture IV - 4th IFIP TC 12 Conference, CCTA 2010, Selected Papers",
edition = "PART 1",
}