Fully automatic segmentation of bee wing images

被引:0
作者
Garcia Fagundes, Joao Marcos [1 ]
Rebelo, Allan Rodrigues [1 ]
Digiampietri, Luciano Antonio [1 ]
Biscaro, Helton Hideraldo [1 ]
机构
[1] Univ Sao Paulo, Sao Paulo, Brazil
来源
REVISTA BRASILEIRA DE COMPUTACAO APLICADA | 2020年 / 12卷 / 02期
关键词
image pre-processing; image processing; image segmentation; edge detection; venation classification; SPECIES-IDENTIFICATION;
D O I
10.5335/rbca.v12i2.10420
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Bee preservation is important because approximately 70% of all pollination of food crops is made by them and this service costs more than $ 65 billion annually. In order to help this preservation, the identification of the bee species is necessary, and since this is a costly and time-consuming process, techniques that automate and facilitate this identification become relevant. Images of bees' wings in conjunction with computer vision and artificial intelligence techniques can be used to automate this process. This paper presents an approach to do segmentation of bees' wing images and feature extraction. Our approach was evaluated using the modified Hausdorff distance and F measure. The results were, at least, 24% more precise than the related approaches and the proposed approach was able to deal with noisy images.
引用
收藏
页码:37 / 45
页数:9
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