【摘要】：為實(shí)現(xiàn)生豬瘦肉率的快速無(wú)損檢測(cè),以機(jī)器視覺(jué)為主要技術(shù),通過(guò)生豬的外形特征圖像進(jìn)行瘦肉率估測(cè),為飼養(yǎng)者與收購(gòu)者提供生豬品級(jí)的決策依據(jù)。采用MATLAB為開發(fā)工具,通過(guò)圖形用戶界面(graphical user interface,GUI)實(shí)現(xiàn)軟件操作界面,以生豬的側(cè)面及背面圖像為研究對(duì)象,利用圖像處理技術(shù)從目標(biāo)中提取體長(zhǎng)、體高、胸深、腹長(zhǎng)、臀寬、腰寬等數(shù)據(jù),以這些體尺的比例(胸深體高比、臀寬體長(zhǎng)比、臀寬腰寬比、腹長(zhǎng)體長(zhǎng)比)為參數(shù),通過(guò)徑向基函數(shù)(radial basis function,RBF)神經(jīng)網(wǎng)絡(luò)進(jìn)行瘦肉率估測(cè)。該文分別對(duì)7組生豬外形圖像進(jìn)行處理,4項(xiàng)比例指標(biāo)的平均估測(cè)準(zhǔn)確率分別為92.90%、92.44%、95.17%、96.51%,瘦肉率的平均估測(cè)準(zhǔn)確率為94.35%。結(jié)果表明,該文所構(gòu)造的基于生豬外形特征圖像的瘦肉率估測(cè)方法工作效率高,成本低,可用于估測(cè)生豬瘦肉率。
[Abstract]:In order to realize the fast nondestructive testing of lean meat rate of live pigs, machine vision is used as the main technology to estimate the lean meat rate of live pigs by using the shape characteristic image of live pigs, which can provide the decision basis for pig quality grade for breeders and purchasers. Using MATLAB as the development tool, the software operation interface is realized through the graphical user interface (graphical user interface,GUI). The side and back images of the pig are taken as the research object, and the body length, body height, chest depth and abdomen length are extracted from the target by image processing technology. Based on the data of hip width, waist width and so on, the lean meat rate was estimated by radial basis function (radial basis function,RBF) neural network based on the ratio of breast depth to body height, hip width to body length, hip width to waist-width ratio and abdomen length to width ratio. In this paper, the contour images of 7 groups of live pigs were processed. The average accuracy of the four indexes was 92.90 and 95.179.179.51, respectively, and the average accuracy of the lean meat rate was 94.355.The average estimation accuracy of the four indexes was 92.90 and 95.179.51, respectively. The results show that the proposed method based on pig shape feature image has high efficiency and low cost and can be used to estimate lean meat rate of live pigs.
【作者單位】： 華南農(nóng)業(yè)大學(xué)工程學(xué)院/教育部南方農(nóng)業(yè)機(jī)械與裝備關(guān)鍵技術(shù)重點(diǎn)實(shí)驗(yàn)室/廣東省食品質(zhì)量安全重點(diǎn)實(shí)驗(yàn)室;安徽省農(nóng)業(yè)科學(xué)院農(nóng)業(yè)經(jīng)濟(jì)與信息研究所;
【基金】：廣東省科技計(jì)劃項(xiàng)目(2012A020602039) 廣州市產(chǎn)學(xué)研協(xié)同創(chuàng)新重大專項(xiàng)(201508010013)
【分類號(hào)】：TP391.41;TS251.51

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