Abstract
A method using both color and texture feature to recognize plant leaf image is proposed in this paper. After image preprocessing, color feature and texture feature plant images are obtained, and then support vector machine (SVM) classifier is trained and used for plant images recognition. Experimental results show that using both color feature and texture feature to recognize plant image is possible, and the accuracy of recognition is fascinating.
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Man, QK., Zheng, CH., Wang, XF., Lin, FY. (2008). Recognition of Plant Leaves Using Support Vector Machine. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2008. Communications in Computer and Information Science, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85930-7_26
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DOI: https://doi.org/10.1007/978-3-540-85930-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85929-1
Online ISBN: 978-3-540-85930-7
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