基于图像的奶牛体况评分方法

N. Lynn, Zin Mar Kyu, Thi Thi Zin, I. Kobayashi
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引用次数: 4

摘要

身体状况评分(BCS)是包括奶牛在内的许多物种的能量储备水平。对于奶牛场的精确管理,BCS的判断过程至关重要。在本研究中,提出了一种新的估算身体状况评分的方法。该系统使用奶牛的后视图图像。对尾头和左右钩周围的区域进行自动分割,然后对该区域进行分类,以估计车身状况评分。主要分为三个步骤:(1)对奶牛图像进行分割,(2)使用凸包法提取感兴趣区域(ROI),(3)使用移动平均法计算参数。为了验证该方法的有效性,利用不同奶牛类型的背视图像进行了实验,结果准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating body condition score of cows from images with the newly developed approach
The Body Condition Score (BCS) is the level of energy reserves in many species, including dairy cattle. For the exact management on dairy farms, the judgment process of BCS is critically important. In this study, the implementation of newly developed approach to estimate body condition score is proposed. Back view images of the cow were used in this system. The area around the tailhead and left and right hooks are segmented automatically and then classified that region for estimating the body condition score. The three main steps conducted are (1) segmentation of cows' images, (2) extraction of region of interest (ROI) by using the convex hull method, and (3) calculation of parameter using moving average method. To confirm this new approach, back view images of various cow types are used and the experimental results confirm its effectiveness with accurate results.
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