Abstract: We present a novel technique for pollen identification from sets of multifocal image sequences obtained from optical microscopy.
Our algorithm analyzes the visual texture of pollen grains for each focal image, and performs identification using a fast sequence-matching algorithm. Although ...
Our algorithm analyzes the visual texture of pollen grains for each focal image, and performs identification using a fast sequence-matching algorithm. Although ...
A novel technique for pollen identification from sets of multifocal image sequences obtained from optical microscopy, which analyzes the visual texture of ...
Pollen recognition in optical microscopy by matching multifocal image sequences ... This paper attempts to present an automatic 3D pollen image recognition method ...
We present a novel technique for pollen identification from sets of multifocal image sequences obtained from optical microscopy. Our algorithm analyzes the ...
Here, we present a novel method for pollen classification. The method uses multifocal image sequences obtained using optical microscopy. In Fig. 1., a ...
Mar 1, 2024 · A deep learning model for identifying allergic pollen like a palynologist. Pollen location and predefined feature extractors for shape-texture extraction.
Pollen Recognition in Optical Microscopy by Matching Multifocal Image Sequences. IEEE International Conference on Pattern Recognition (ICPR), 2016. PDF Cite
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Oct 22, 2024 · In this article, we present a method for detecting pollen in multifocal optical microscopy images of air samples collected by a Burkard pollen ...