Open AccessMorphological Group Theory of Soft Matter Structure - A New Mathematics of Natural Image Numbers
Author(s) -
Zijing Zhou
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1995/1/012069
Subject(s) - interpretation (philosophy) , heuristic , image (mathematics) , feature (linguistics) , group (periodic table) , physics , mathematics , artificial intelligence , pattern recognition (psychology) , biology , computer science , evolutionary biology , quantum mechanics , philosophy , linguistics , programming language
The accurate understanding and interpretation of the SARS-CoV-2 electron microscope photos (EMP) is of great significance for the scientific treatment of coronary pneumonia and precise strategy. Here I study the image mathematics and physics description of micro-images of soft matter system by the morphology group theory of material structure, and show that there is a natural image numbers equation, which can be used to describe not only the common feature of soft matter structure, but also to correct classify the states into different classes, so that to study the morphology physics for soft matter science and biology, some important basic concepts of biophysics, such as the central dogma of molecular biology, Gene sequence analysis, heuristic recognition of SARS-CoV-2 can also be newly explained and understood by the equation.