title: On the mathematical reconstruction of two dimensional plants.
abstract: A set of 10, chosen medicinal plants (some of them with a reputation as remedies for tuberculosis) has been investigated through Partitioned Iterated Function Systems-Semi Fractals with Angle (PIFS-SFA) coding, Lempel, Ziv, Welch with quantization and noise (LZW-QN) compression, and surface density statistics (f(alpha)-SDS) discrimination techniques. The final outcomes of this quantitative analysis were, firstly: the linear ordering of the plants in question accompanied by the hope that it reflects their medical significance, secondly: the mathematical representation of each of the plants, and thirdly: the impressive compression achieved, leading to remarkable computer memory saving, and still permitting successful pattern recognition i.e., proper identification of the plant from the compressed image.
authors.affiliation: Section of Physics and Applied Mathematics, Faculty of Chemistry, Silesian University of Technology, Ks. M. Strzody 9, 44-100 , Gliwice, Poland. zbigniew.grzywna@polsl.pl
authors.forename: Zbigniew J
authors.initials: ZJ
authors.lastname: Grzywna
authors.forename: Przemysław
authors.initials: P
authors.lastname: Borys
authors.forename: Gabriela
authors.initials: G
authors.lastname: Dudek
mesh_terms: D000465:Algorithms; D016248:Computer Storage Devices; D044962:Data Compression; D017709:Fractals; D007091:Image Processing, Computer-Assisted; D015233:Models, Statistical; D010363:Pattern Recognition, Automated; D010946:Plants, Medicinal / Q000033:anatomy & histology*