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Using online image processing technique for measurement the browning in banana during drying (a new and automatic method) 111
Ebrahimi, Mohammad Ali; Mohtasebi, Seyyed Saeed; Rafiee, Shahin; Hosseinpour, S..
Determination and controlling of quality parameters can be useful for ordering and marketing of fruits.  Color is the first and the most important parameter in the visual appearance of fruits, specifically in banana.  The aim of this study is to use image-processing technique (online operation) to measure and analyze the color change of banana slices during thin layer drying.  Using online-image-processing technique resulted in designing a machine vision system to control the color change of products automatically.  The results show a linear relation with high correlation coefficient for L*, a* and b* (0.967, 0.962 and 0.991 respectively) between the data of the image-processing technique and the hold-hand colorimeter.  In this study, parameters of chroma,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Machine vision; Online; Banana.
Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2522
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Development and evaluation of an integrated navigation system for inter-row operations 111
jafarbiglu, hamid; Mousazadeh, Hossein; keyhani, alireza.
Simultaneous to industrial automation, automating agricultural tasks would be affordable for efficiency improvement. To obtain an applicable fully automatic vehicle in the straight rows and headland turning, an autonomous system was developed and evaluated in three different modes. The study was implemented on actual sized, renewable energy based off-road vehicle (SAPHT). Experimental evaluations were conducted based on machine vision and teleoperation modes with various speeds. The vehicle also was driven manually for comparison. RMSE analysis in the straight path illustrated the prominence of vision based guidance (10.09 cm). While in the curved test track, teleoperational navigation gives good results (12.84 cm). However for an accurate navigation,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Navigation; Teleoperation; Machine vision; Autonomous; Inter-row operation.
Ano: 2015 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3312
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Image processing techniques for lemons and tomatoes classification 53
Lino,Antonio Carlos Loureiro; Sanches,Juliana; Fabbro,Inacio Maria Dal.
Vegetable quality is frequently referred to size, shape, mass, firmness, color and bruises from which fruits can be classified and sorted. However, technological by small and middle producers implementation to assess this quality is unfeasible, due to high costs of software, equipment as well as operational costs. Based on these considerations, the proposal of this research is to evaluate a new open software that enables the classification system by recognizing fruit shape, volume, color and possibly bruises at a unique glance. The software named ImageJ, compatible with Windows, Linux and MAC/OS, is quite popular in medical research and practices, and offers algorithms to obtain the above mentioned parameters. The software allows calculation of volume,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Fruits and vegetables selection; ImageJ software; Machine vision.
Ano: 2008 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052008000300029
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Mature pomegranate recognition methods in natural environments using machine vision 65
Lei,Xiangxiao; Ouyang,Honglin; Xu,Lijuan.
ABSTRACT: The use of machine vision to recognize mature pomegranates in natural environments is of major significance in improving the applicability and work efficiency of picking robots. By analyzing the color characteristics of color images of mature pomegranates under different illumination conditions, the feasibility of the YCbCr color model for pomegranate image recognition under different illumination conditions was proven. First, the Cr component map of pomegranate image is selected and then the pomegranate fruit is segmented by the kernel fuzzy C-means clustering algorithm to obtain the pomegranate image. Contrast experiments of pomegranate image segmentation under different illumination conditions were then performed using the proposed kernel...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Punica granatum L.; Machine vision; Fuzzy clustering; Kernel; Image segmentation..
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000900351
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