Abstract
Color based classification is widely used in food industry. Using this paper we propose a non destructive, efficient and novel technique of colorization and then propose an efficient quality analysis for the spices to be exported. Prior to export, Foeniculum vulgare (Fennel) seeds are subjected to inspection for the purpose of quality control and grading. For quality grading, the fennel seeds are cleaned and screened manually hence the practice is tedious, time consuming and labor intensive. We have developed of a machine vision system for quality inspection using combined measurement analysis. The methodology involves collecting the RGB images and then converting them to binary images using histogram analysis. Some colorization procedures are involved for image enhancement to distinguish the species from the background. Then the combined measurements consisting of area, minor axis length are extracted from the ISEF applied colorized images. The quality evaluation of the specified samples is done on the basis of quality table so formed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
