A novel method for the separation of overlapping pollen species for automated detection and classification

DOI10.1155/2016/5689346zbMath1423.92203OpenAlexW2295488255WikidataQ27312662 ScholiaQ27312662MaRDI QIDQ332915

Santiago Tello-Mijares, Francisco Flores

Publication date: 9 November 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/5689346

zbMATH Keywords

Fibonacci seriesoverlapping pollen species detection and classification

Mathematics Subject Classification ID

Computational methods for problems pertaining to biology (92-08) Fibonacci and Lucas numbers and polynomials and generalizations (11B39) Plant biology (92C80)

Cites Work

• Nominated texture based cervical cancer classification
• Smart spotting of pulmonary TB cavities using CT images
• Cirrhosis classification based on texture classification of random features
• The estimation of the gradient of a density function, with applications in pattern recognition
• Snakes, shapes, and gradient vector flow
• Random forests

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