Abstract
Green index of tree leaves is an important parameter for leaf image segmentation. An innovative method based on color features was presented to automatically extract and split tree leaves from digital image analyses. Based on the features of leaves and its background components, an algorithm was designed to extract the leaves contour, and the corresponding program was developed. This method was simple, and it have a high degree of accuracy as well as a clearly distinguish degree and many other advantages such as good consistency with human visual system. It completely meets the effectiveness and clarity requirements of image segmentation.
Research was supported by Northeast Forestry University Graduate Thesis Grant (STIP10).
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Bai, Jy., Ren, He. (2011). Research on Algorithm of Image Segmentation Based on Color Features. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_12
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DOI: https://doi.org/10.1007/978-3-642-21402-8_12
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