CAJ | 학술논문

为了解决猪肌内脂肪含量的检测，比较各类被用于检测肌内脂肪含量的方法，包括物理化学和计算机视觉等解决方法。根据比较得出的结论，提出在活体猪的肌内脂肪含量的检测中，应用超声系统将是一个很有效的办法。描述一种经过改进的基于超声图像参数分析的猪肌内脂肪含量的检测算法。算法利用超声定制探头采集猪肋骨的图像，通过对图像的频谱、直方图、梯度与纹理参数进行综合分析，建立PIMF的回归分析模型。同时也建立一个基于反馈学习的参数优化系统，因此该算法提高系统对不同猪种的适应性以及检测结果的正确性。
위료해결저기내지방함량적검측，비교각류피용우검측기내지방함량적방법，포괄물이화학화계산궤시각등해결방법。근거비교득출적결론，제출재활체저적기내지방함량적검측중，응용초성계통장시일개흔유효적판법。묘술일충경과개진적기우초성도상삼수분석적저기내지방함량적검측산법。산법이용초성정제탐두채집저륵골적도상，통과대도상적빈보、직방도、제도여문리삼수진행종합분석，건립PIMF적회귀분석모형。동시야건립일개기우반궤학습적삼수우화계통，인차해산법제고계통대불동저충적괄응성이급검측결과적정학성。
To solve the problem of detection of pig's IMF (Intramuscular Fat) which is an important topic and getting more and more concern in recent years. Many methods have been compared con-tains either physically or in computer vision. According to the comparison, proposes that ultra-sound is a better choice to detect IMF in living swine. Describes an improved algorithm which used ultrasound system to get pig's image of herbs, analyzes spectrum, histogram, gradient and texture parameters of images, builds regression model of PIMF. Builds an optimized system based on feedback learning. Improves algorithm adaptability and accuracy when the method used on different breeds of pig.