计算机应用与软件2016，Vol.33Issue(5)：192-195,4.DOI:10.3969/j.issn.1000-386x.2016.05.048
K-均值聚类算法在海水背景石斑鱼彩色图像分割中的应用
APPLICATION OF K-MEANS CLUSTERING ALGORITHM IN COLOUR IMAGE SEGMENTATION OF GROUPER IN SEAWATER BACKGROUND
摘要
Abstract
Fish’s image segmentation is the key and prerequisite step of the behaviour observation and intelligent automatic feeding system for farmed fish.For fish segmentation of the image with seawater background,we proposed a hardware and software system in regard to acquiring colour RGB image of grouper farmed in artificial seawater environment,and applied k-means clustering algorithm in the experiment of RGB format images’segmentation.We observed and analysed the histogram characters of three planes of monochromatic pixels (R,G or B)of colour image.Using three-colour pixel points (RGB)and three planes of monochromatic pixels (R,G or B)as the clustering data sets,we employed k-means clustering algorithm for image segmentation,the clustering number value was set to 2,representing the seawater background and fish object respectively.Through observation and statistics of 100 image segmentation results,it could draw a preliminary conclusion that the results of using blue (B)plane clustering segmentation satisfied the most.关键词
图像分割/K-均值聚类/海水养殖Key words
Image segmentation/K-means clustering/Mari culture分类
信息技术与安全科学引用本文复制引用
马国强,田云臣,李晓岚..K-均值聚类算法在海水背景石斑鱼彩色图像分割中的应用[J].计算机应用与软件,2016,33(5):192-195,4.基金项目
天津市科技支撑计划重点项目（14ZCZ DNC00009）；公益性行业（农业）科研专项项目（201203017）。 （）
