Abstract
This paper concerns the problem of leaf area measurement based on image processing embedded in smart mobile phone. After the leaf image was captured with the camera of the mobile phone and preprocessing to eliminate the noise, the first step is the detection of the referenced rectangle with 2-side scan method. Then the leaf region was separated from the background by comparing the value of 2G-R-B to a threshold which was defined with OTSU method. Next, the leaf area was corrected by morphological image processing. Lastly, the leaf area was calculated according to the pixels proportion between leaf region and the referenced rectangle. Experiment results show that our method has as equivalent accuracy as traditional method with digital camera and computer.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Han, D., Zhang, F. (2012). Leaf Area Measurement Embeded in Smart Mobile Phone. In: Lee, G. (eds) Advances in Intelligent Systems. Advances in Intelligent and Soft Computing, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27869-3_27
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DOI: https://doi.org/10.1007/978-3-642-27869-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27868-6
Online ISBN: 978-3-642-27869-3
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