Plant species classification using flower images-A comparative study of local feature representations.

ABSTRACT: Steady improvements of image description methods induced a growing interest in image-based plant species classification, a task vital to the study of biodiversity and ecological sensitivity. Various techniques have been proposed for general object classification over the past years and several of them have already been studied for plant species classification. However, results of these studies are selective in the evaluated steps of a classification pipeline, in the utilized datasets for evaluation, and in the compared baseline methods. No study is available that evaluates the main competing methods for building an image representation on the same datasets allowing for generalized findings regarding flower-based plant species classification. The aim of this paper is to comparatively evalua

SUBMITTER: Seeland M 

PROVIDER: S-EPMC5325198 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature