摘要
针对浮选泡沫图像难以直接识别的问题,提出了一种基于形态学的分水岭改进算法,利用CLAHE、最小最大值滤波对泡沫图像进行预处理,采用形态学方法进行图像重建,最后利用分水岭算法对重建后的图像进行分割。仿真结果表明,该算法可有效地对复杂混合泡沫图像进行分割。
Aiming at the problem that it is difficult to directly recognize the flotation foam image,an improved morphology-based watershed algorithm is proposed.The foam image is pre-processed using CLAHE and minimum and maximum filtering,and the morphological method is also used to reconstruct the image.Finally,the reconstructed image is segmented by watershed algorithm.Simulation results show that the algorithm can effectively segment complex mixed foam images.
作者
田林伶
卢兆林
TIAN Linling;LU Zhaolin
出处
《山西焦煤科技》
2019年第12期4-7,16,共5页
Shanxi Coking Coal Science & Technology
关键词
浮选泡沫
图像分割
CLAHE法
最小最大值滤波
形态学
分水岭算法
Flotation froth
Image segmentation
CLAHE method
Minimum and maximum filtering
Morphology
Watershed algorithm