Learning sparse representation for leaf image recognition

Jou Ken Hsiao, Li Wei Kang*, Ching Long Chang, Chao Yung Hsu, Chia Yen Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

8 引文 斯高帕斯(Scopus)

摘要

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, a novel leaf image recognition technique via sparse representation is proposed for automatic plant identification. In order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. For each test leaf image, we calculate the correlation between the image and each learned dictionary of leaf species to achieve the identification of the leaf image. As a result, efficient leaf recognition can be achieved on public leaf dataset based on the proposed framework leading to a more compact and richer representation of leaf images compared to traditional clustering approaches. Moreover, our method is also adapted to newly added leaf species without retraining classifiers and suitable to be highly parallelized as well as integrated with any leaf image descriptors/features.

原文英語
主出版物標題Digest of Technical Papers - IEEE International Conference on Consumer Electronics
發行者Institute of Electrical and Electronics Engineers Inc.
頁面209-210
頁數2
ISBN(電子)9781479938308
DOIs
出版狀態已發佈 - 2014 9月 18
對外發佈
事件1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014 - Taipei, 臺灣
持續時間: 2014 5月 262014 5月 28

出版系列

名字Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(列印)0747-668X

其他

其他1st IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2014
國家/地區臺灣
城市Taipei
期間2014/05/262014/05/28

ASJC Scopus subject areas

  • 工業與製造工程
  • 電氣與電子工程

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