Title

Locating deciduous trees

Abstract

Presents a method to obtain information about the presence of deciduous trees in images. Since a single measure, observation or model is unlikely to yield robust recognition of trees, we present an approach that combines color measures and estimates of the complexity, structure, roughness and directionality of the image based on entropy measures, grey-level co-occurrence matrices, Fourier transforms, multi-resolution Gabor filter sets, steerable filters and the fractal dimension. A standard backpropagation neural network is used to arbitrate between the different measures and to find a set of robust and mutually consistent "tree experts".

Publication Date

1-1-1997

Publication Title

Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997

Number of Pages

18-25

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/IVL.1997.629716

Socpus ID

33748000972 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33748000972

This document is currently not available here.

Share

COinS