Abstract
A new image recognition algorithm for a small creature—Caenorhabditis elgance is developed in this paper. This methods first use edge detection, binarization and other methods to get the body contours of C.elgance. Then using its body symmetry, C.elgance is recognized by comparing similarity of consecutive lines in image. The experimental result shows the high positioning accuracy and rapidity of the proposed algorithm. This method can also be applied to other object recognition from the biological image of creatures with symmetric body.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, R., Tang, S., Zhao, J., Zhang, S., Chen, X., Zhang, B. (2011). Automatic C. Elgance Recognition Based on Symmetric Similarity in Bio-Micromanipulation. In: Wang, Y., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent and Soft Computing, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25661-5_25
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DOI: https://doi.org/10.1007/978-3-642-25661-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25660-8
Online ISBN: 978-3-642-25661-5
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