Citrus fruit grading based on the volume and mass estimation from their projected areas using ANFIS and GPR models

Fruits ◽  
2021 ◽  
Vol 76 (4) ◽  
pp. 169-180
Author(s):  
H. Masoudi ◽  
◽  
A. Rohani ◽  
◽  
2008 ◽  
Vol 2008 (0) ◽  
pp. _2A1-B12_1-_2A1-B12_4
Author(s):  
Takafumi KAICHI ◽  
Naoshi KONDO ◽  
Mitsutaka KURITA ◽  
Yasushi KOHNO ◽  
Syugo IKEGAWA
Keyword(s):  

2009 ◽  
Vol 2009 (0) ◽  
pp. _1A2-B15_1-_1A2-B15_2 ◽  
Author(s):  
Yasushi Kohno ◽  
Naoshi Kondo ◽  
Takafumi Kaichi ◽  
Mitsutaka Kurita ◽  
Shingo Okamoto

2009 ◽  
Vol 21 (4) ◽  
pp. 533-540 ◽  
Author(s):  
Mitsutaka Kurita ◽  
◽  
Naoshi Kondo ◽  
Hiroshi Shimizu ◽  
Peter Ling ◽  
...  

There are many types of citrus fruit grading machine with machine vision capability. While most of them sort fruit by size, shape and color, detection of fruit rot remains challenging because their colors are similar with normal parts. Objectives of this research were to investigate if fluorescence would be a good indicator of the fruit rot, and to develop an economical solution to add the rot inspection capability to an existing machine vision fruit inspection station. A machine vision system consisting of a pair of white and UV LED lighting devices and a color CCD camera was proposed for the orange fruit grading task. Since the time lag between the color and fluorescence image captures was short (14 ms), it was possible to inspect color, shape, size, and rot of a fruit on the move before it leaves an existing industrial inspection chamber.


2008 ◽  
Vol 2008 (0) ◽  
pp. _2A1-B07_1-_2A1-B07_4
Author(s):  
Mitsutaka KURITA ◽  
Naoshi KONDO ◽  
Takahisa NISHIZU ◽  
Makoto KURAMOTO ◽  
Yuichi OGAWA ◽  
...  

2010 ◽  
Vol 43 (26) ◽  
pp. 111-115 ◽  
Author(s):  
Yasushi KOHNO ◽  
Yuan Ting ◽  
Naoshi KONDO ◽  
Michihisa IIDA ◽  
Mitsutaka KURITA ◽  
...  
Keyword(s):  

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
Y Kobayashi ◽  
H Takemoto ◽  
Z Fu ◽  
E Shimizu ◽  
Y Kinjo

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association


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