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- W2592112912 abstract "In the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques. How, with the increase of the number of thresholds, the computing time increases exponentially. To overcome this problem, this paper proposed an artificial bee colony algorithm with a two-level topology. This improved artificial bee colony algorithm can quickly find out the suitable thresholds and nearly no trap into local optimal. The test results confirm it good performance." @default.
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- W2592112912 date "2017-01-01" @default.
- W2592112912 modified "2023-09-27" @default.
- W2592112912 title "Intelligent Image Segment for Material Composition Detection" @default.
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- W2592112912 doi "https://doi.org/10.1051/matecconf/201710004026" @default.
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