Session
Mechatronics, Robotics, and System Engineering
Description
In this paper we present several descriptors used for the task of Plant recognition based on the images of leaves. The set of descriptors include texture based descriptors, fractal descriptors as well as some of the state of the art descriptors for image retrieval and object recognition in images. The descriptors are generated from the leaf images taken from single leaves on homogenous background. The descriptors are then used for training classifiers from a dataset of leaf images. The comparison of the obtained results will be presented in this paper.
Keywords:
recognition, images, fractal, pixel
Session Chair
Gazmend Bajrami
Session Co-Chair
Kushtrim Dragusha
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-24-0
First Page
157
Last Page
159
Location
Durres, Albania
Start Date
1-11-2013 5:30 PM
End Date
1-11-2013 5:45 PM
DOI
10.33107/ubt-ic.2013.71
Recommended Citation
Petre, Lameski; Eftim, Zdravevski; and Andrea, Kulakov, "Comparison of local image descriptors for plant identification from leaf images" (2013). UBT International Conference. 71.
https://knowledgecenter.ubt-uni.net/conference/2013/all-events/71
Included in
Comparison of local image descriptors for plant identification from leaf images
Durres, Albania
In this paper we present several descriptors used for the task of Plant recognition based on the images of leaves. The set of descriptors include texture based descriptors, fractal descriptors as well as some of the state of the art descriptors for image retrieval and object recognition in images. The descriptors are generated from the leaf images taken from single leaves on homogenous background. The descriptors are then used for training classifiers from a dataset of leaf images. The comparison of the obtained results will be presented in this paper.