PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Gurevich I. B., Niemann H., Salvetti O., Yashina V., Zhernova I. An algorithmic scheme for analysis of cytological specimens. In: Open German Russian Workshop on Pattern Recognition & Image Understanding (Ettlingen, Germany, 20-23 August 2007). Proceedings, Forshungsinstitut fur Optronik und Mustererkennung, 2007.
 
 
Abstract
(English)
The paper is devoted to the development and formal representation of the descriptive model of information technology for automating morphologic analysis of cytological specimens (lymphatic system tumors). The theoretical base of the model is the Descriptive Approach to Image Analysis and its main mathematical tools. It is demonstrated practical application of algebraic tools of the Descriptive Approach and presented an algorithmic scheme of a technology implementing the apparatus of Descriptive Image Algebras.
Subject Cytological imaging
Image Algebras
I.4.7 Feature Measurement
I.4.10 Image Representation
I.4.9 Image Processing and Computer Vision. Applications


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