A Principal Component Analysis (PCA) based Method for Shape Extraction | Zendy

Leontin Tuţă | Zendy; Ioan Nicolaescu | Zendy; Radu Mariescu-Istodor | Zendy; Angela Digulescu | Zendy

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A Principal Component Analysis (PCA) based Method for Shape Extraction

Author(s) -

Leontin Tuţă,

Ioan Nicolaescu,

Radu Mariescu-Istodor,

Angela Digulescu

Publication year - 2019

Publication title -

journal of military technology

Language(s) - English

Resource type - Journals

eISSN - 2668-7976

pISSN - 2601-6613

DOI - 10.32754/jmt.2019.2.03

Subject(s) - principal component analysis , matlab , computer science , reliability (semiconductor) , principal (computer security) , data mining , component (thermodynamics) , pattern recognition (psychology) , artificial intelligence , power (physics) , physics , quantum mechanics , thermodynamics , operating system

Digital Object Identifier 10.32754/JMT.2019.2.03 17 1Abstract—This paper proposes an algorithm that uses principal component analysis (PCA) in order to extract some of the most commonly used shapes in different design or drawing based applications. Other methods are also discussed in comparison to PCA, the advantages and disadvantages being underlined in each case. Simulations are performed in Matlab for a number of scenarios, with the purpose to test the method’s reliability in different cases, especially unfavorable ones. A concept for generalizing the functionality of the algorithm is also presented, and the limitations of this concept are discussed.

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