Leaf Classification and Identification using Canny Edge Detector and SVM Classifier

被引:0
作者
Salman, Adil [1 ]
Semwal, Ashish [1 ]
Bhatt, Upendra [2 ]
Thakkar, V. M. [3 ]
机构
[1] GBPEC, Comp Sci Engn, Pauri Garhwal, India
[2] HNBGU, Comp Sci Engn, Srinagar, India
[3] GBPEC, Comp Sci & Engn, Pauri Garhwal 246194, Uttarakhand, India
来源
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON INVENTIVE SYSTEMS AND CONTROL (ICISC 2017) | 2017年
关键词
Image Segmentation; SVM classifier; Canny edge detector; REPRESENTATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Plants are to be considered as one of the important things that plays a very essential role for all living beings exists on earth. But due to some unawareness and environment deterioration, some very rare plants are on the verge of extinction. Knowledge of rare leaves used for medicine and other plants is very critical in future. Leaf identification and classification plays a vital role for plant species recognition. In recent years, most of the researchers dedicate their work on leaf characterization. Leaf shape is the major parameter to classify plants. A new approach is to extract 15 features from the leaf using Canny Edge Detector and classify 22 different kinds of plants with SVM classifier.
引用
收藏
页码:609 / 612
页数:4
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