基于模糊三值模式的矿物浮选泡沫图像边缘检测方法  

Mineral Floatation Froth Image Edge Detection Method Based on Fuzzy Ternary Pattern

作　　者：周开军[1,2] 桂卫华[1] 阳春华[1] 谢永芳[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083 [2]湖南商学院计算机与信息工程学院,湖南长沙410205

出　　处：《电子学报》2014年第4期658-665,共8页Acta Electronica Sinica

基　　金：国家创新研究群体科学基金(No.61321003);国家自然科学基金重点项目(No.61134006);国家自然科学基金(No.61304253;No.41101425;No.61202464);国家杰出青年科学基金(No.61025015);湖南省自然科学基金(No.13JJ4093;No.13JJ4018;No.12JJ3064);湖南省教育厅优秀青年项目(No.11B070);湖南省重点学科建设项目

摘　　要：针对一类边缘特征不明显的矿物浮选泡沫图像,提出了一种基于模糊三值模式的泡沫图像边缘检测方法.在‘0/1’二值模式基础上,增加不确定逻辑状态,构成模糊局部三值模式,以描述邻域像素灰度均值的不确定关系,同时,对邻域双向灰度差值之和进行模糊化,以描述边缘与非边缘方向的关系,联立邻域灰度关系与双向灰度差值隶属度,构造气泡边缘隶属度矩阵,依据联合隶属度的解模糊结果判决是否为边界候选像素,再根据边界候选像素集合的特征剔除非边界像素,以此得到泡沫边缘.实验结果表明,该方法能够有效地检测出气泡边缘,同时,在强噪声环境下,具有良好的鲁棒性.Considering a class of mineral flotation froth image with uncertain edge characteristics ,a bubble image edge detec-tion method based on fuzzy ternary pattern is proposed .On the basis of ‘0/1’binary logic ,a kind of uncertain logic state is added . According to the bubble formation mechanism and its valley edge characteristics ,the fuzzy local ternary pattern algorithm is intro-duced ,which is used to describe uncertain relationship between center and neighborhood pixel average gray level .Meanwhile ,the bidirectional grayscale difference is fuzzed to describe the relationship between edge and non-edge direction .On that basis ,the neighborhood grayscale and bidirectional grayscale difference membership are combined ,and the bubble edge membership degree matrix is constructed .Thus ,the boundary candidate pixels are determined based on the defuzzification of joint membership .Accord-ing to border candidate pixels characterized ,the non-boundary pixels are removed ,which yield the bubble edges .The experimental results show that the proposed method can effectively detect the bubble edges ;meanwhile ,the algorithm has a good robustness in high level noise environment .

关 键 词：矿物浮选 泡沫图像 边缘检测 模糊逻辑 局部三值模式 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]