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Development of a semi-automatic system for pollen recognition

机译：开发半自动花粉识别系统

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A semi-automatic system for pollen recognition is studied for the european project ASTHMA. The goal of such a system is to provide accurate pollen concentration measurements. This information can be used as well by the palynologists, the clinicians or a forecast system to predict pollen dispersion. At first, our emphasis has been put on Cupressaceae, Olea, Poaceae and Urticaceae pollen types. The system is composed of two modules: pollen grain extraction and pollen grain recognition. In the first module, the pollen grains are observed in light microscopy and are extracted automatically from a pollen slide coloured with fuchsin and digitized in 3D. In the second module, the pollen grain is analyzed for recognition. To accomplish the recognition, it is necessary to work on 3D images and to use detailed palynological knowledge. This knowledge describes the pollen types according to their main visible characteristerics and to those which are important for recognition. Some pollen structures are identified like the pore with annulus in Poaceae, the reticulum in Olea and similar pollen types or the cytoplasm in Cupressaceae. The preliminary results show the recognition of some pollen types, like Urticaceae or Poaceae or some groups of pollen types, like reticulate group.
机译：为欧洲ASTHMA项目研究了一种用于花粉识别的半自动系统。这种系统的目的是提供准确的花粉浓度测量。此信息也可以被古生物学家，临床医生或预测系统用来预测花粉的扩散。首先，我们重点研究了柏科，油橄榄，禾本科和荨麻科花粉类型。该系统由两个模块组成：花粉粒提取和花粉粒识别。在第一个模块中，在光学显微镜下观察花粉粒，并自动从用品红染色的花粉片中提取花粉，并以3D数字化。在第二个模块中，分析花粉粒以进行识别。为了完成识别，必须处理3D图像并使用详细的孢粉学知识。这些知识根据花粉的主要可见特征和对识别很重要的特征来描述花粉类型。鉴定出一些花粉结构，例如禾本科中的带环孔，油橄榄中的网状和类似花粉类型或柏科中的细胞质。初步结果表明，可以识别某些花粉类型（例如荨麻科或禾本科）或某些花粉类型组（例如网状组）。

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