Leaf Image Processing and Detection: Computer-based Aid for Plant Identification and Classification

  • Fiza Fida Department of Computer Science, Government College University, Faisalabad.
  • Muhammad Rizwan Talib Department of Computer Science, Government College University, Faisalabad.
  • Nauman Ali Khan Key Laboratory of Wireless-Optical Communications, CAS, University of Science and Technology, Hefei, Anhui Province China.
  • Muhammad Aqeel School of Life Sciences, Lanzhou University, Lanzhou, Gansu Province, China.
  • Naeem Iqbal Department of Botany, Government College University, Faisalabad.
  • Faiza Fida Department of Computer Science, Government College University, Faisalabad.
  • Muhammad Zahid Department of Botany, Government College University, Faisalabad.
  • Muhammad Arshad Department of Botany, Government College University, Faisalabad.
  • Ali Noman Department of Botany, Government College University, Faisalabad.
Keywords: Classification, Image, Plants, Processing.

Abstract

Identification/recognition of leaf is the first choice for plant taxonomist as well as common men. Plant taxonomists use different criteria for selection and identification of any plant species. Over the years, scientists used different processing tools to recognize plant images for identification of plant characteristics. To unveil the differences in the leaf Morphology with respect to plant identification, Faisalabad district was visited and surveyed for distribution of plant species. We developed leaf recognition software to facilitate the novice to understand the taxonomy of plant by just highlighting the attributes of plant leaves. A pipe and filter software architecture were applied and executed to implement this software. After precise confirmation, data regarding leaf attributes was extracted and used as a base for this software. We evaluated our system in a very extensive manner and also checked the impact. 153 leaf images prototype data was evaluated both with as well as without considering leaf self-intersection. The objective was to know whether an unknown leaf falls in one of the families and represent which plant group. Our system detected the most similar plant to the input options and can facilitate the users to reach a final conclusion. The final results pointed out a capable presentation of this software and its advantage over the classical method.

Published
2018-08-20
How to Cite
Fida, F., Talib, M., Khan, N., Aqeel, M., Iqbal, N., Fida, F., Zahid, M., Arshad, M., & Noman, A. (2018). Leaf Image Processing and Detection: Computer-based Aid for Plant Identification and Classification. PSM Biological Research, 3(3), 132-139. Retrieved from https://journals.psmpublishers.org/index.php/biolres/article/view/213
Section
Articles