Abstract
In order to improve the recognition accuracy of cucumber diseased image, a new method based on image preprocessing and extraction of texture feature had been proposed, which making full use of color information included in cucumber image. At first, vector median filter for color images was applied to remove noise, and then chromaticity moments were extracted as texture feature. Experimental results show that vector median filter for color images can remove the noise of diseased leaf with efficiency, and the adoption of chromaticity moments as texture feature of color image is simple and rapid, which had good recognition effect.
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© 2009 Springer Science+Business Media, LLC
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Tian, Y., Niu, Y., Li, T. (2009). A STUDY ON THE METHOD OF IMAGEPROCESSING AND FEATURE EXTRACTION FOR CUCUMBER DISEASED. In: Li, D., Zhao, C. (eds) Computer and Computing Technologies in Agriculture II, Volume 2. CCTA 2008. IFIP Advances in Information and Communication Technology, vol 294. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0211-5_21
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DOI: https://doi.org/10.1007/978-1-4419-0211-5_21
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