Data/hora: 18/06/2024 14:55:22

Provedor de dados: | 19
País: | Japan

Título:

枝肉横断面撮影装置で撮影されたデジタル画像を利用したBCSナンバーの判定

Prediction of Beef Color Standard Number from Digital Image Obtained by Using Photographing Equipment for the Cross Section of Carcass

Autores: | 口田, 圭吾; 長谷川, 未央; 鈴木, 三義; 三好, 俊三; KUCHIDA, Keigo; HASEGAWA, Mio; SUZUKI, Mitsuyoshi; MIYOSHI, Shunzo.
Data: | 2001-08
Ano: | 2001
Palavras-chave: | Beef Color Standard; Image analysis; Digital image.
Resumo: | デジタルカメラと照明装置とを一体化した枝肉横断面撮影装置（以下，撮 影装置）を，より多くの枝肉に適用可能とするよう改良し，得られた画像を利用し て，牛肉色基準（BCS）ナンバーを推定することを目的とした．撮影装置は，リング 照明方式を採用し，装置の高さを従来型より12cm低い33cmとした．内部には，1,002 個の白色発光ダイオードが配置され，均一で安定した光を枝肉横断面に照射可能であ る．BCS標準模型について撮影装置からの画像より得られた赤（R），緑（G），青 （B）各階調値および輝度とBCSナンバーとの相関係数は，それぞれ-0.98，-0.91， -0.82および-0.99であり，BCSナンバーと輝度との関係がもっとも直線的であっ た．北海道内の食肉処理場において，第6-7肋骨横断面の画像を採取し（n＝ 1,208），変数逐次増減法による重回帰分析を行い，BCSナンバーを画像解析形質から 推定した．推定されたBCSナンバーと格付員によるそれとが一致した割合は76.8%，そ れが±1以内であった割合は，100.0%となった． The photographing equipment integrating the digital camera and the illumination device for the cross section of carcass was able to take a clear image. The first aim of this study was to improve the photographing equipment in order to adapt for more carcasses. The second aim was to predict the Beef Color Standard (BCS) number by using the obtained image from the equipment. Height of the photographing equipment was 12cm lower (H=33cm) than the previous model with the adaptation of a ring illumination method instead of a coaxial epi-illumination method. The photographing equipment has 1，002 white LEDs (light emitting diodes) internally，which can irradiate a steady light to the cross-section of carcass uniformly. The correlation coefficients of R，G，B components and luminance from image with BCS number of the standard model of BCS were-0.98，-0.91，-0.82，and -0.99，respectively. These results indicated that the relationship between luminance and BCS number of standard model was high1y linear. Images around the rib eye at 6th-7th rib cross-section were collected (n= 1，208) at a meat processing plant in Hokkaido. BCS number assigned by grader was predicted by multiple regression analysis using image analysis traits. Ratios of the difference between BCS number assigned by grader and BCS number predictedd by image analysis being ±0 and within ±1 were 76.8% and 100.0%，respectively.
Idioma: | Japonês
Identificador: | http://ir.obihiro.ac.jp/dspace/handle/10322/949
Editor: | 日本畜産学会
Formato: | application/pdf
Fonte: | 日本畜産学会