Open AccessRecognition of Leaves in Videos
Author(s) -
M Naveena,
Vidyashankara,
Gaurav Kumar
Publication year - 2020
Publication title -
international journal of inventive engineering and sciences
Language(s) - English
Resource type - Journals
ISSN - 2319-9598
DOI - 10.35940/ijies.l0946.025820
Subject(s) - artificial intelligence , local binary patterns , computer science , pattern recognition (psychology) , classifier (uml) , key (lock) , k nearest neighbors algorithm , computer vision , orientation (vector space) , histogram , image (mathematics) , mathematics , geometry , computer security
The aim of this paper work is to design a user independent framework for recognizing and classifying the leaves in a video frames. This project involves classification of leaves using KNN (K- Nearest Neighbor) as a classifier. SURF (Speeded-Up Robust Features) and LBP (Local Binary Pattern) features are used for extracting Scale ,Orientation etc., In the first step our proposed model can extract most distinguish key-frames and then from extracted key-frames it detects the leaf color and recognize the different class of leaves.