Morphology based Sediment Particle Iimage Binarization Algorithm Research
The diversity and complexity of sediment particle images, has become a constraint major bottleneck problem of establishing the river sediment image segmentation, using sediment particle images with similar particle images in other areas can take advantage of same-sex classes of image processing to propose a morphology-based Otsu binarization algorithm, the use of fast binary algorithm to get the initial search reference, on this basis to define a smaller range as the initial search of morphologybased Otsu binarization algorithm, then image segmentation. Experiments show that the new algorithm to maintain the speed and good noise suppression ability, at the same time this algorithm can better retain the original image characteristics, the algorithm execution speed has been greatly improved. Images have good results after binary.
sediment particle images binarization algorithm morphological
Xiao Ying Yuan Bo Zeng Dajun Wang Bing Xie Fengying
school of Electronic and Information Engineering Jinggangshan University jian, Jiangxi, China 34300 school of Information Engineering East China JiaoTong University Nanchang,Jianxi, China,330000
国际会议
杭州
英文
375-378
2012-03-23（万方平台首次上网日期，不代表论文的发表时间）