A Computer Tool for 3D Shape Recovery of Fruits

Characterizing a fruit’s mechanical behavior is an important step towards reducing economic losses due to bruising. Several 3D scanning technologies allow to obtain the external geometry of a fruit, but no easily accessible tools exist for the acquisition of the geometry of internal structures such as the core. We propose a low-cost destructive method for tomographic reconstruction of a fruit from scanned slices. A method for overcoming the difficulties in registering the different images is also presented.

[1]  Imran A. Rahman,et al.  Techniques for Virtual Palaeontology: Sutton/Techniques for Virtual Palaeontology , 2013 .

[2]  Ghasem Abedi,et al.  Bruise susceptibilities of Golden Delicious apples as affected by mechanical impact and fruit properties , 2013, The Journal of Agricultural Science.

[3]  H. Kursat Celik,et al.  Determination of bruise susceptibility of pears (Ankara variety) to impact load by means of FEM-based explicit dynamics simulation , 2017 .

[4]  Piotr Komarnicki,et al.  Evaluation of bruise resistance of pears to impact load , 2016 .

[5]  Mahmood Reza Golzarian,et al.  Finite element analysis of the dynamic behavior of pear under impact loading , 2017 .

[6]  Inês Sousa,et al.  An Integrated Experimental and Numerical Approach to Develop an Electronic Instrument to Study Apple Bruise Damage , 2016 .

[7]  Kirby G. Vosburgh,et al.  3D Slicer: A Platform for Subject-Specific Image Analysis, Visualization, and Clinical Support , 2014 .

[8]  Ebrahim Ahmadi,et al.  Viscoelastic finite element analysis of the dynamic behavior of apple under impact loading with regard to its different layers , 2016, Comput. Electron. Agric..

[9]  Zhiguo Li,et al.  Quantitative evaluation of mechanical damage to fresh fruits , 2014 .

[10]  Paolo Cignoni,et al.  MeshLab: an Open-Source Mesh Processing Tool , 2008, Eurographics Italian Chapter Conference.

[11]  Kamran Kheiralipour,et al.  Drop test of pear fruit: Experimental measurement and finite element modelling , 2016 .