新疆褐牛背线边缘检测自动分级算法

Automatic Grading Algorithm of Xinjiang Brown Cattle Based on Digital Image Processing

牛的背线在新疆褐牛体型鉴定及分级中是重要的指标之一,背线的水平程度反应了牛的生长状况,是选优育种的重要指标.本文依据新疆褐牛体型线性鉴定标准,以牛侧面图像(主要是从胸后到十字步的图像)为研究对象,采用数字图像处理的方法,先对图像进行二值化处理,再对二值化图像进行边缘检测,实现对牛背线边缘点的自动提取.最后通过分析背线边缘点数据,得到牛背线情况的自动分级,具体将背线分为45,35,25,15,5五个等级,得分越高,牛的生长情况越好.实验表明该算法有效可行,能准确快速的得到新疆褐牛背线自动分级结果.

The dorsal line of cattle is one of the most important indexes in the identification and classification of Xinjiang brown cattle, and the level of the back line reflects the growth of cattle, which is an important index for selection and breeding. Based on the identification standard of linear type of Xinjiang brown cattle, taking cattle side image（mainly from the chest to the cross step image） as the research object, this paper uses digital image processing method first to process the image binarization,and then to detect the edge of image binarization,realizing the automatic extraction of the edge points of the back line cattle. Finally, through the analysis of the data of the edge of the back line, it gets the automatic classification of the cattle back line, and divides the line into five grades： 45, 35, 25, 15, 5. The higher the score is, the better the growth of cattle is. The experiment shows that the algorithm is effective and feasible, and can get the result of automatic classification of Xinjiang brown cattle back line fast and precisely.