Recognition of Leaves in Videos
Naveena M1, Vidyashankara2, G Hemantha Kumar3
1Naveena M, Scientific Officer, University of Mysore, Mysore, Karnataka, India.
2Vidyashankara, Research Scholar, University of Mysore, Mysore, Karnataka, India.
3G Hemantha Kumar, Vice Chancellor, University of Mysore, Mysore, Karnataka, India.
Manuscript received on February 05, 2020. | Revised Manuscript Received on February 10, 2020. | Manuscript published on February 20, 2020. | PP: 1-3 | Volume-5 Issue-8 February 2020. | Retrieval Number: L0946015820/2020©LSP | DOI: 10.35940/ijies.L0946.025820
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Graph Cu, Segmentation, Recognition.