Leaf Features based approach for Automated Identification of Medicinal Plants

被引:0
|
作者
Kumar, E. Sandeep [1 ]
Talasila, Viswanath [1 ]
机构
[1] MS Ramaiah Inst Technol, Dept Telecommun Engn, Bangalore 560054, Karnataka, India
关键词
Ayurvedic Medicinal system; Image processing; Statistical parameters;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Use of the correct plant extracts is crucial in Ayurvedic treatment. This paper focuses on the automatic identification of medicinal plants that are commonly used in Ayurveda. Previous work indicated a Gaussian distribution for various image related features of the medical plant leaves. This work strengthens this conclusion by extending the results through a better classifier design. In this work, we have considered additional plant species to prove that obtained image features are again Gaussian distributed, with the accuracy of the classifier computed.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Medicinal plants recognition using heterogeneous leaf features: an intelligent approach
    Sharma, Manoj
    Kumar, Naresh
    Sharma, Shallu
    Kumar, Sumit
    Singh, Sukhjinder
    Mehandia, Seema
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (17) : 51513 - 51540
  • [2] Medicinal plants recognition using heterogeneous leaf features: an intelligent approach
    Manoj Sharma
    Naresh Kumar
    Shallu Sharma
    Sumit Kumar
    Sukhjinder Singh
    Seema Mehandia
    Multimedia Tools and Applications, 2024, 83 : 51513 - 51540
  • [3] Support Vector Machine Based Classification of Medicinal Plants Using Leaf Features
    Venkataraman, D.
    Mangayarkarasi, N.
    2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2017, : 793 - 798
  • [4] Important Shape Features for Romanian Medicinal Herb Identification Based on Leaf Image
    Pavaloiu, Ionel-Bujorel
    Ancuceanu, Robert
    Enache, Claudia-Maria
    Vasilateanu, Andrei
    2017 IEEE INTERNATIONAL CONFERENCE ON E-HEALTH AND BIOENGINEERING CONFERENCE (EHB), 2017, : 599 - 602
  • [5] DCGAN-based deep learning approach for medicinal leaf identification
    Sachar, Silky
    Kumar, Anuj
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2023, 44 (04): : 717 - 723
  • [6] BDMediLeaves: A leaf images dataset for Bangladeshi medicinal plants identification
    Islam, Saiful
    Ahmed, Md. Rayhan
    Islam, Siful
    Rishad, Md Mahfuzul Alam
    Ahmed, Sayem
    Utshow, Toyabur Rahman
    Siam, Minhajul Islam
    DATA IN BRIEF, 2023, 50
  • [7] Identification of Ayurvedic Medicinal Plants by Image Processing of Leaf Samples
    Manojkumar, P.
    Surya, C. M.
    Gopi, Varun P.
    2017 THIRD IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN), 2017, : 231 - 238
  • [9] Fusion of Local Binary Patterns Features for Tropical Medicinal Plants Identification
    Herdiyeni, Yeni
    Kusmana, Iyos
    2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2013, : 353 - 357
  • [10] MODEL-BASED APPROACH TO AUTOMATED HAZARD IDENTIFICATION OF CHEMICAL-PLANTS
    CATINO, CA
    UNGAR, LH
    AICHE JOURNAL, 1995, 41 (01) : 97 - 109