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Research article - Peer-reviewed, 2005

Comparison of three individual tree crown detection methods

Erikson, Mats; Olofsson, Kenneth


Three image processing methods for single tree crown detection in high spatial resolution aerial images are presented and compared using the same image material and reference data. The first method uses templates to find the tree crowns. The other two methods uses region growing. One of them is supported by fuzzy rules while the other uses an image produced by Brownian motion. All three methods detect around 80%, or more, of the visible sunlit trees in two pine (Pinus Sylvestris L.) and two spruce stands (Picea abies Karst.) in a boreal forest. For all methods, large tree crowns are easier to detect than small ones


Individual tree crown; Segmentation methods; template matching

Published in

Machine Vision and Applications
2005, volume: 16, number: 4, pages: 258-265

Authors' information

Swedish University of Agricultural Sciences, Department of Forest Resource Management
Erikson, Mats

UKÄ Subject classification

Environmental Sciences related to Agriculture and Land-use
Forest Science

URI (permanent link to this page)