Seed Identification of Gramineous Grass Based on Difference of Local Fractal Dimensions
Xin Pan*, 1, Tong Chen1, Yubao Ma2, Weihong Yan2, Xiaojing Gao1, Xia Liu1, Guixiang Liu*, 2
1 College of Computer and Information Engineering, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia 010018, China
2 Grassland Research Institute of Chinese Academy of Agricultural Sciences, Huhhot, Inner Mongolia 010010, China
Abstract
This work proposes an approach based on the difference of local fractal dimension (DLFD) for seed identification of gramineous grass, rather than shape and color of the seeds. Being an important forge category of grassland, gramineous grass has been rarely investigated for the automated identification task by the researchers. Three main steps are involved in the extraction of DLFD. At first, the ROI image is equally divided into local blocks, and the fractal dimension of the partitions are calculated. Based on the average fractal dimension of all the blocks, the DLFD can then be obtained by subtracting the individual fractal dimension and the average, magnifying the contrast of the self-similarity of the images. Euclidean Distance and the nearest neighbor classifier are finally used for similarity measurement and classification. The novelty of the approach lies in applying fractal geometry in forage seed identification, a quite new area for pattern recognition. The experimental results demonstrate the effectiveness of the proposed method by some comparative analysis.
Keywords: Fractal dimension, Gramineous grass, Seed identification, Texture analysis.
Article Information
Article History:
Received Date: 24/11/2015
Revision Received Date: 27/06/2016
Acceptance Date: 25/07/2016
Electronic publication date: 25/08/2016
Collection year: 2016
© Pan et al.; Licensee Bentham Open.
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (
https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
*
Address correspondence to these authors at the College of Computer and Engineering, Inner Mongolia Agricultural University, 306Road ZhaoWuda, Saihan District, Huuhot, Inner Mongolia, China; Tel: 86-15847129078; E-mails: pxffyfx@126.com, liugx804@163.com
Open Peer Review Details |
Manuscript submitted on 24-11-2015 |
Original Manuscript |
Seed Identification of Gramineous Grass Based on Difference of Local Fractal Dimensions |