Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins

Daniel Caballero; Andrés Caro; Jose Manuel Amigo Rubio; Anders B. Dahl; Bjarne Kjær Ersbøll; Trinidad Pérez-Palacios

doi:10.1007/978-3-319-64689-3_17

Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins

Daniel Caballero, Andrés Caro, Jose Manuel Amigo Rubio, Anders B. Dahl, Bjarne Kjær Ersbøll, Trinidad Pérez-Palacios

Food Analytics and Biotechnology

2 Citations (Scopus)

Abstract

Traditionally, the quality traits of meat products have been estimated by means of physico-chemical methods. Computer vision algorithms on MRI have also been presented as an alternative to these destructive methods since MRI is non-destructive, non-ionizing and innocuous. The use of fractals to analyze MRI could be another possibility for this purpose. In this paper, a new fractal algorithm is developed, to obtain features from MRI based on fractal characteristics. This algorithm is called OPFTA (One Point Fractal Texture Algorithm). Three fractal algorithms were tested in this study: CFA (Classical fractal algorithm), FTA (Fractal texture algorithm) and OPFTA. The results obtained by means of these three fractal algorithms were correlated to the results obtained by means of physico-chemical methods. OPFTA and FTA achieved correlation coefficients higher than 0.75 and CFA reached low relationship for the quality parameters of loins. The best results were achieved for OPFTA as fractal algorithm (0.837 for lipid content, 0.909 for salt content and 0.911 for moisture). These high correlation coefficients confirm the new algorithm as an alternative to the classical computational approaches (texture algorithms) in order to compute the quality parameters of meat products in a non-destructive and efficient, way.

Original language	English
Title of host publication	Computer Analysis of Images and Patterns : 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I
Editors	Michael Felsberg, Anders Heyden, Norbert Krüger
Number of pages	11
Place of Publication	Cham
Publisher	Springer
Publication date	2017
Pages	208-218
ISBN (Print)	978-3-319-64688-6
ISBN (Electronic)	978-3-319-64689-3
DOIs	https://doi.org/10.1007/978-3-319-64689-3_17
Publication status	Published - 2017

Series	Lecture notes in computer science
Volume	10424
ISSN	0302-9743

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10.1007/978-3-319-64689-3_17

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Caballero, D., Caro, A., Amigo Rubio, J. M., Dahl, A. B., Kjær Ersbøll, B., & Pérez-Palacios, T. (2017). Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins. In M. Felsberg, A. Heyden, & N. Krüger (Eds.), Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I (pp. 208-218). Springer. Lecture notes in computer science Vol. 10424 https://doi.org/10.1007/978-3-319-64689-3_17

Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins. / Caballero, Daniel; Caro, Andrés; Amigo Rubio, Jose Manuel et al.

Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I. ed. / Michael Felsberg; Anders Heyden; Norbert Krüger. Cham : Springer, 2017. p. 208-218 (Lecture notes in computer science, Vol. 10424).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Caballero, D, Caro, A, Amigo Rubio, JM, Dahl, AB, Kjær Ersbøll, B & Pérez-Palacios, T 2017, Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins. in M Felsberg, A Heyden & N Krüger (eds), Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I. Springer, Cham, Lecture notes in computer science, vol. 10424, pp. 208-218. https://doi.org/10.1007/978-3-319-64689-3_17

Caballero D, Caro A, Amigo Rubio JM, Dahl AB, Kjær Ersbøll B, Pérez-Palacios T. Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins. In Felsberg M, Heyden A, Krüger N, editors, Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I. Cham: Springer. 2017. p. 208-218. (Lecture notes in computer science, Vol. 10424). doi: 10.1007/978-3-319-64689-3_17

Caballero, Daniel ; Caro, Andrés ; Amigo Rubio, Jose Manuel et al. / Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins. Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I. editor / Michael Felsberg ; Anders Heyden ; Norbert Krüger. Cham : Springer, 2017. pp. 208-218 (Lecture notes in computer science, Vol. 10424).

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Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins

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