%0 Journal Article
%T A Segmentation Method Based on Clustering Pre-segmentation and High-low Scale Distance Reconstruction for Colour Froth Image<br>基于聚类预分割和高低精度距离重构的彩色浮选泡沫图像分割
%A Yang Chun-hua Yang Jin-ying Mou Xue-min Zhou Kai-jun Gui Wei-hua
%A <br>阳春华
%A 杨尽英
%A 牟学民
%A 周开军
%A 桂卫华
%J 电子与信息学报
%D 2008
%I 
%X Due to a large variation in the quality of froth images of ore and inhomogeneity of size, shape and grayscale of bubbles, a new segmentation method based on clustering pre-segmentation and high-low scale distance reconstruction is proposed for froth images. Firstly, the segmentation between foreground froth and background mineral slurry image is achieved by the k-means clustering method and the noises are filtered according to intensity distribution and shape distribution information, and a new reconstruction combined with high-low scale distance transformation based on morphological reconstruction is presented and applied to the froth distance- transformation image. Then the precise region makers for watershed transformation are extracted by area-reconstruction h-dome improved transformation. Finally, the watershed algorithm is used to get waterline for every bubble. Bubble physical characteristics such as the bubble number and bubble size can be obtained from the segmented image,which provide the guidance for flotation control process. The experimental results show its effectiveness.
%K Froth image
%K k-means clustering
%K Area-reconstruction
%K Distance transformation
%K Watershed transformation<br>泡沫图像
%K κ-均值聚类
%K 面积重构
%K 距离变换
%K 分水岭变换
%K 聚类
%K 预分割
%K 度距离
%K 彩色
%K 浮选泡沫
%K 图像分割
%K Image
%K Colour
%K Reconstruction
%K Distance
%K Scale
%K Clustering
%K Based
%K Method
%K 有效性
%K 方法
%K 仿真结果
%K 浮选控制
%K 特征参数
%K 物理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B9488AB71412C45EE2A22D9FF68D7B3C&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=B31275AF3241DB2D&sid=F7C51083F4D893E5&eid=646D2C4F03762FE5&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=13