ISSN 2736-1624
Frontiers of Agriculture and Food Technology ISSN 7295-2849 Vol. 9 (12), pp. 001-005, December, 2019. © International Scholars Journals
Full Length Research Paper
Non-destructive detection of Sudan dye duck eggs based on computer vision and fuzzy cluster analysis
Tao Zhu and Qiaohua Wang*
College of Engineering, Huazhong Agricultural University, Wuhan, 430070, P.R. China.
Accepted 04 October, 2019
Abstract
A method of non-destructive detection of Sudan dye duck eggs was developed using image processing and fuzzy cluster analysis. Duck egg color images were obtained by using a computer vision device. Through the component analysis of RGB image, it was found that the yolk region could be viewed distinctly in the gray scale image of B-component, and this characteristic was used to separate the yolk region from the white region. By extracting and comparing the color parameters, the R-component values of the yolk region showed obvious differences for Sudan dye and natural red-yolk duck eggs. A fuzzy discriminant model for the detection of Sudan dye duck eggs was established using the yolk’s color parameters. The experimental results indicated that this model had good capability of identification for Sudan dye eggs.
Key words: Duck egg, Sudan dye, computer vision, fuzzy cluster analysis, non-destructive detection.