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Nondestructive prediction method for yolk : albumen ratio in chicken eggs by computer image analysis OAK
Kuchida, Keigo; Fukaya, Miho; Miyoshi, Syunzou; Suzuki, Mitsuyoshi; Tsuruta, Shogo; 口田, 圭吾; 三好, 俊三; 鈴木, 三義.
The purpose of this study was to develop a nondestructive prediction method for the yolk: albumen ratio by computer image analysis for candling inspection. Twenty-two to 49 eggs per line were randomly sampled from four chicken lines. After weighing the eggs, the eggs were illuminated by an overhead projector beam through a small hole in dark room. Video images were taken of the eggs from four directions, the eggs rotated each time by 90 degrees. The eggs were broken for measuring egg traits, including the yolk:albumen ratio. The average value obtained from four directions was used for statistical analysis. The ratio of the number of pixels of light and dark parts (light: dark ratio), and the CV of red (R), green (G), and blue (B) components for the whole...
Palavras-chave: Yolk; Albumen ratio; Computer image analysis; Prediction method.
Ano: 1999 URL: http://ir.obihiro.ac.jp/dspace/handle/10322/1025
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