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Proceedings Paper

A noninvasive technique for real-time detection of bruises in apple surface based on machine vision
Author(s): Juan Zhao; Yankun Peng; Sagar Dhakal; Leilei Zhang; Akira Sasao
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Paper Abstract

Apple is one of the highly consumed fruit item in daily life. However, due to its high damage potential and massive influence on taste and export, the quality of apple has to be detected before it reaches the consumer’s hand. This study was aimed to develop a hardware and software unit for real-time detection of apple bruises based on machine vision technology. The hardware unit consisted of a light shield installed two monochrome cameras at different angles, LED light source to illuminate the sample, and sensors at the entrance of box to signal the positioning of sample. Graphical Users Interface (GUI) was developed in VS2010 platform to control the overall hardware and display the image processing result. The hardware-software system was developed to acquire the images of 3 samples from each camera and display the image processing result in real time basis. An image processing algorithm was developed in Opencv and C++ platform. The software is able to control the hardware system to classify the apple into two grades based on presence/absence of surface bruises with the size of 5mm. The experimental result is promising and the system with further modification can be applicable for industrial production in near future.

Paper Details

Date Published: 29 May 2013
PDF: 8 pages
Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 87210O (29 May 2013); doi: 10.1117/12.2015897
Show Author Affiliations
Juan Zhao, China Agricultural Univ. (China)
Yankun Peng, China Agricultural Univ. (China)
Sagar Dhakal, China Agricultural Univ. (China)
Leilei Zhang, China Agricultural Univ. (China)
Akira Sasao, Tokyo Univ. of Agriculture and Technology (Japan)


Published in SPIE Proceedings Vol. 8721:
Sensing for Agriculture and Food Quality and Safety V
Moon S. Kim; Shu-I Tu; Kuanglin Chao, Editor(s)

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