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      Towards automatic recognition of plant varieties

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      Challenge of Image Retrieval (CIR)

      Image Retrieval

      5 February 1998

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            Abstract

            In crop variety registration, visual scores of a plant’s appearance are widely and routinely used to establish variety differences. This makes it an ideal candidate for automating through machine vision. This paper describes the outline of a planned system for searching for matches between images from new candidate varieties and those stored in a database of established varieties. Some of the image analysis tools used are described. These include summary statistics derived from 3D histograms of colour components, morphological measures of the shape of leaf tips, principal components of landmark variation and eigenimage scores.

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            Author and article information

            Conference
            February 1998
            February 1998
            : 1-8
            Affiliations
            [0001]Biomathematics and Statistics Scotland, The Rowett Research Institute,

            Bucksburn, Aberdeen, AB21 9SB, Scotland.
            [0002]Biomathematics and Statistics Scotland

            James Clerk Maxwell Building, King’s Buildings, Edinburgh EH9 3JZ, Scotland
            [0003]Scottish Agricultural Science Agency,

            East Craigs, Edinburgh EH12 8NJ, Scotland
            Article
            10.14236/ewic/CIR1998.6
            203bb65a-a86b-4e9e-8bbf-486506bbf1ef
            © Graham W. Horgan et al. Published by BCS Learning and Development Ltd. Challenge of Image Retrieval, University of Northumbria at Newcastle, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Challenge of Image Retrieval
            CIR
            University of Northumbria at Newcastle, UK
            5 February 1998
            Electronic Workshops in Computing (eWiC)
            Image Retrieval
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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