Designing an FPGA Synthesizable Computer Vision Algorithm to Detect the Greening of Potatoes
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2014 by IJETT Journal|
|Year of Publication : 2014|
|Authors : Jaspinder Pal Singh
Jaspinder Pal Singh. "Designing an FPGA Synthesizable Computer Vision Algorithm to Detect the Greening of Potatoes", International Journal of Engineering Trends and Technology(IJETT), V8(8),438-442 February 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Potato quality control has improved in the last years thanks to automation techniques like machine vision, mainly making the classification task between different quality degrees faster, safer and less subjective. In our study we are going to design a computer vision algorithm for grading of potatoes according to the greening of the surface colour of potato. The ratio of green pixels to the total number of pixels of the potato surface is found. The higher the ratio the worse is the potato. First the image is converted into serial data and then processing is done in RGB colour space. Green part of the potato is also shown by de-serializing the output. The same algorithm is then synthesized on FPGA and the result shows thousand times speed improvement in case of hardware synthesis.
 United States Standards for Grades of Potatoes Effective June 3, 2011
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Machine vision, Potato greening, Region of interest, RGB colour space, SIMULINK, HDL Workflow Advisor, USDA, FPGA, Synthesis.