Efficient deep features selections and classification for flower species recognition
Date
2019Author
Cibuk, Musa
Budak, Umit
Guo, Yanhui
Ince, M. Cevdet
Sengur, Abdulkadir
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Image-based automatic flower species classification is an important problem for the biologists who construct digital flower catalogs. A dozen of work about flower species recognition has been proposed so far based on traditional image processing routines.
URI
http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10116https://doi.org/10.1016/j.measurement.2019.01.041
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