Plant Leaf Segmentation Invariant of Background

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)
© 2014 by IJCOT Journal
Volume - 4 Issue - 5
Year of Publication : 2014
Authors : Vatsal Mahajan , Dilip Jain , Abhinav Dua
  10.14445/22492593/IJCOT-V12P305

MLA

Vatsal Mahajan , Dilip Jain , Abhinav Dua. "Plant Leaf Segmentation Invariant of Background", International Journal of Computer & organization Trends (IJCOT), V4(5):15-18 Sep - Oct 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract—In this paper we describe an approach for plant leaf segmentation which is background invariant. Leaf segmentation is a primal pre-processing step to perform various operations on the leaf, which is mostly difficult to achieve with accuracy on varied backgrounds. This method has been tested on a dataset of 200 leaves form 8 different plant species and with each having a different background. The approach is easy to implement and has high accuracy.

References-

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Keywords
Leaf Segmentation, Leaf Detection, Image Segmentation, Finding Disconnected Components.