Determination of senescent spotting in banana (<i>Musa cavendish</i>) using fractal texture Fourier image

作     者：Quevedo, R. Mendoza, F. Aguilera, J. M. Chanona, J. Gutierrez-Lopez, G. 

作者机构：Univ Los Lagos Dept Food Sci & Technol Av Fushlocher 1305 Osorno Chile Pontificia Univ Catolica Chile Dept Chem Engn & Bioproc Santiago Chile Escuela Nacl Ciencias Biol Inst Politecn Nacl Dept Grad & Invest Alimentos Mexico City DF Mexico 

出 版 物：《JOURNAL OF FOOD ENGINEERING》 (食品工程杂志)

年 卷 期：2008年第84卷第4期

页      面：509-515页

核心收录：

学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 0817[工学-化学工程与技术] 08[工学] 

基　　金：Fondo Nacional de Desarrollo Científico y Tecnológico  FONDECYT  (1060355) 

主　　题：fractal texture computer vision systems senescent spotting bananas 

摘      要：The analysis of fractal texture reflects a change in pixel intensity, and this might contain information about the structure of objects since a great change in intensity might usually indicate changes in the object. In the images of banana surfaces, the texture image can, to some extent, reflect changes and thus it can be used as an indicator of the last stage during the ripening process (over-ripening). In this experiment, bananas (Musa cavendish) were stored during 10 days at 20 degrees C. Images of banana surfaces were recorded using a computational vision system. The over-ripening process of bananas was represented by an increment in the fractal value derived from texture fractal Fourier analysis. The result shows that fractal texture derived from the spectral Fourier analysis increased monotonically and it can be used as an indicator of the senescence process also called senescent spotting of the banana peel. (c) 2007 Elsevier Ltd. All rights reserved.