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The Improved DBSCAN Algorithm Study on Maize Purity Identification
[chapter]
2012
IFIP Advances in Information and Communication Technology
In order to identify maize purity rapidly and efficiently, the image processing technology and clustering algorithm were studied and explored in depth focused on the maize seed and characteristics of the seed images. An improved DBSCAN on the basis of farthest first traversal algorithm (FFT) adapting to maize seeds purity identification was proposed in the paper. The color features parameters of the RGB, HIS and Lab color models of maize crown core area were extracted, while H, S and B as to be
doi:10.1007/978-3-642-27278-3_67
fatcat:jymkwnkoijgitosdb5sndxnhpy