1 research outputs found
Architecture Based Classification of Leaf Images
Plant classification and identification has so far been an important and
difficult task. In this paper, an efficient and systematic approach for
extracting the leaf architecture characters from captured digital images is
proposed. The input image is first pre-processed in five steps to be prepared
for feature extraction. In the second stage, methods for extracting different
architectural features are studied using various mathematical and computational
methods. Also, the classification rules for mapping the calculated values of
each feature to semantic botanical terms in proposed. Compared with previous
studies, the proposed method combines extracted features of an image with
specific knowledge of leaf architecture in the domain of botany to provide a
comprehensive framework for both computer engineers and botanist. Finally,
Based on the proposed method, experiments on the classification of the
ImagerCLEF 2012 dataset has been performed with promising results.Comment: 28 pages, 17 figure