Leaf Categorization Methods for Plant Identification

التفاصيل البيبلوغرافية
العنوان: Leaf Categorization Methods for Plant Identification
المؤلفون: ASDRUBAL LOPEZ CHAU, RAFAEL ROJAS HERNANDEZ, VALENTIN TRUJILLO MORA, JAIR CERVANTES CANALES, LISBETH RODRIGUEZ MAZAHUA, FARID GARCIA LAMONT
المصدر: 0302-9743 ; 978-3-319-63314-5
بيانات النشر: Springer International Publishing
سنة النشر: 2017
مصطلحات موضوعية: leaf features, mcnemar test, plant identification, info:eu-repo/classification/cti/7
الوصف: In most of classic plant identification methods a dichotomous or multi-access key is used to compare characteristics of leaves. Some questions about if the analyzed leaves are lobed, unlobed, simple or compound need to be answered to identify plants successfully. However, very little attention has been paid to make an automatic distinction of leaves using such features. In this paper we first explore if incorporating prior knowledge about leaves (categorizing between lobed simple leaves, and the unlobed simple ones) has an effect on the performance of six classification methods. According to the results of experiments with more than 1,900 images of leaves from Flavia data set, we found that it is statically significant the relationship between such categorization and the improvement of the performances of the classifiers tested. Therefore, we propose two novel methods to automatically differentiate between lobed simple leaves, and the unlobed simple ones. The proposals are invariant to rotation, and achieve correct prediction rates greater than 98%.
نوع الوثيقة: book part
اللغة: English
ردمك: 978-3-319-63314-5
3-319-63314-7
Relation: http://hdl.handle.net/20.500.11799/68630
الاتاحة: https://hdl.handle.net/20.500.11799/68630
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc/4.0
رقم الانضمام: edsbas.FF6E508B
قاعدة البيانات: BASE
الوصف
ردمك:9783319633145
3319633147