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Method for automated unsupervised ontological investigation of structural appearances in electron micrographs
Method for automated unsupervised ontological investigation of structural appearances in electron micrographs
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机译:电子显微照片中结构外观的自动无监督本体研究方法
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摘要
The method is for dividing dark objects, sub-structures and background of an image from an electron microscope into segments by analyzing pixel values. The segments are transformed and aligned so that the transformed objects, sub-structures and background are meaningfully comparable. The transformed segments are clustered into classes which are used for ontological investigation of samples that are visualized by using electron microscopy. A triangle inequality comparison can be used to further cluster groups of objects to transfer understanding from different interactions between objects and to associate interactions with each other.
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