Article,

Recognition of Leaves in Videos

(Eds.)
International Journal of Inventive Engineering and Sciences (IJIES), 5 (8): 1-3 (February 2020)
DOI: 10.35940/ijies.L0946.025820

Abstract

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.

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