Abstract
Image segmentation is one of important steps on pattern recognition study in the course of wood across-compression. By comparing and studying processing methods in finding cell space and cell wall, this paper puts forward some image segmentation methods that are suitable for study of cell images of wood crossgrained compression. The method of spline function fitting was used for linking edges of cell, which perfects the study of pattern recognition in the course of wood across-compression.
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This study is supported by the Nature Science Foundation of Heilongjiang Province as part of Academic study of computer vision analysis for tectonics feature in wood across compression.
Cao Jun: male, born in 1956, Prof. and Vice president of Northeast Forestry University
Responsible editor: Chai Ruihai
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Jun, C., Liping, S., Dongyan, Z. et al. Application study of image segmentation methods on pattern recognition in the course of wood across-compression. Journal of Forestry Research 11, 57–59 (2000). https://doi.org/10.1007/BF02855499
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DOI: https://doi.org/10.1007/BF02855499