Title :
A Fruit Size Detecting and Grading System Based on Image Processing
Author :
Dang, Hongshe ; Song, Jinguo ; Guo, Qin
Author_Institution :
Sch. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
Abstract :
This paper presents a fruit size detecting and grading system based on image processing. After capturing the fruit side view image, some fruit characters is extracted by using detecting algorithms. According to these characters, grading is realized. Experiments show that this embedded grading system has the advantage of high accuracy of grading, high speed and low cost. It will have a good prospect of application in fruit quality detecting and grading areas.
Keywords :
agricultural products; food products; image processing; object detection; production engineering computing; embedded grading system; fruit quality detection; fruit size detection system; fruit size grading system; image processing; Cameras; Computer vision; Filtering algorithms; Image edge detection; Shape; Size measurement; embedded system; fruit grading; image processing; size detecting;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-7869-9
DOI :
10.1109/IHMSC.2010.120
