基于模糊三值模式的矿物浮选泡沫图像边缘检测方法

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.

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

Considering a class of mineral flotation froth image with uncertain edge characteristics,a bubble image edge detection 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 introduced,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.According 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.