基于灰度图像的深颜色牦牛前景检测

Zijie Sun, Xiaofeng Qin, Meiyun Du, Yu-an Zhang, Weiru Song, R. Song
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引用次数: 1

摘要

目前,数字图像的前景检测是计算机图形学视觉研究中的一个热点问题,在社会的各个领域都有着重要的意义。数字图像前景提取又称图像剪切,是计算机图像处理技术的重要组成部分,也是图形图像处理算法的基础。数字图像的前景提取是指将图像分为场景区域和背景区域两部分,同时提取前景图像形成新图像。本文对青海省三江源地区的牦牛图像进行了提取和展示。大量实验表明,本文提出的深色牦牛前景提取算法对牦牛前景识别有较好的效果。研究结果可为牦牛体重智能分析提供算法依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Foreground Dectection of Yaks of Deep Color Based on Gray Images
Nowadays, foreground detection of digital images has been a heated topic in visual researches of computer graphics and has had great significance in a variety of areas in our society. Digital image foreground extraction is also called image cutout, the important part of computer image processing technology, is also the basis of graphic image processing algorithm. The foreground extraction of digital image refers to dividing an image into two parts of the scene region and the background region, and at the same time the foreground image is extracted form a new image. In this paper, yaks are extracted and displayed in yak images in the Three Rivers Source area of Qinghai province. Plenty of experiments show that the dark-colored yak foreground extraction algorithm in this paper has a good effect on yak foreground recognition. The results of this study can provide an algorithm basis for yak intelligent weight analysis.
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