Leaf Recognition Using Prewitt Edge Detection and K-NN Classification

M. Vilasini and P. Ramamoorthy
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M. Vilasini: KPR Institute of Engineering and Technology
P. Ramamoorthy: KPR Institute of Engineering and Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1507-1515 from Springer

Abstract: Abstract Leaf species identification leads to multitude of societal applications. There is enormous research in the lines of plant identification using pattern recognition. With the help of robust algorithms for leaf identification, rural medicine has the potential to reappear as like the previous decades. This paper discusses Prewitt k-NN for leaf species identification from white background. Variations of the model over the features like traditional shape, texture, color and venation apart from the other miniature features of uniformity of edge patterns, leaf tip, margin and other statistical features are explored for efficient leaf classification.

Keywords: Prewitt; k-NN; Leaf classification; Representation learning (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_155

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DOI: 10.1007/978-3-030-41862-5_155

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