Abstract
Abstract
In this study, robot eviscerating technology was used in the poultry slaughter industry. The poultry viscera were grabbed by the manipulation with the guidance of machine vision technology. A machine-vision-based method of locating the viscera of poultry carcasses was described. The threshold segmentation method, sobel operator and image operations were used to segment the images of poultry viscera. Subsequently, the visceral contour was extracted and its position was detected for common poultry such as Three-Yellow Chicken. The identification rates of this visceral contour recognition system were 95.3%, suggesting that the proposed image recognition algorithm could achieve the accuracy required for poultry visceral contour detection. Therefore, the traditional artificial poultry eviscerating would be replaced by robot eviscerating technology, and the new technology exhibited higher automation program and better eviscerated effect, the location prediction of viscera and the positioning of the machine vision system could be designed, the new technical means were provided for subsequent research on the conveyor chain of poultry eviscerated.
Reference20 articles.
1. Methodology for nondestructive in spection of citrus maturity with machine vision[J];Yibin;Transaction of the CSAE,2004
2. External quality detection of apples using image processing technology[J];Feng;Journal of China Agricultural University,2006
3. Determination of chestnuts grading based on machine vision[J];Hui;Transaction of the CSAE,2010
4. Shape characterization of new apple cultivars by flourier expansion of digitized images[J];Ingrid;J Agric Engng Res,1999
5. Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm[J];Blasco;Journal of Food engineering,2007