文献类型： 外文期刊
作者： Wang, Qiaohua 1 ; Deng, Xiaoyan 2 ; Ren, YiLin 1 ; Ding, Youchun 1 ; Xiong, Lirong 1 ; ZhouPing 3 ; Wen, Youxian 1 ; Wang 1 ;
作者机构： 1.Huazhong Agr Univ, Coll Engn & Technol, Wuhan 430070, Peoples R China
2.Huazhong Agr Univ, Coll Basic Sci, Wuhan 430070, Peoples R China
3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100085, Peoples R China
关键词： Egg yolk; air room; freshness; digital image; computer vision
期刊名称：SCIENTIFIC RESEARCH AND ESSAYS （ 影响因子：0.445； 五年影响因子：0.518 ）
ISSN： 1992-2248
年卷期： 2009 年 4 卷 10 期
页码：
收录情况： SCI
摘要： Yolk index and air room height, two main measures for egg freshness detection, are very difficult to be accurately measured in practices. This paper investigated an image-based egg freshness detection method. The perspective image of egg was obtained by computer vision device. The characteristic regions, including the yolk region and air room region were separated from the obtained egg picture by image processing. The pixel areas and lengths of the above characteristic regions were respectively calculated and analyzed. The relative ratios of the pixel area and length of characteristic regions to that of the whole egg region were selected as characteristic parameters. It was shown that the above relative ratios increased while egg freshness reduced according to a detailed analysis. Three detection models of egg freshness were set up based on the correlations between the characteristic parameters and freshness. The test results showed that the accuracy rates of these models were 93, 94 and 92% respectively. The egg freshness detection based on image characteristic of yolk and air room was efficient and feasible.
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