摘要
描述了浮选中泡沫图像的分割算法 ,根据测定泡沫的尺寸、形状和纹理分割泡沫图像 .因这些泡沫图像的图案和性质千差万别 ,用现有的分割算法是很困难的 ,我们修改并结合不同的现有图像分割算法 ,形成了一种分割泡沫图像的新算法 .在这种算法中 ,使用并修改了阈值算法 ,自动地检测泡沫的种子点或种子区域 ,然后使用形态学技术产生泡沫区域 .最后 ,基于泡沫形状分析 ,合并过于分割的泡沫部分为一泡沫 .文中列举了分割三个泡沫图像的结果 。
Describeed a bubble image segmentation algorithm in floatation. In order to determine bubble size, shape and texture information from the froth images, the images have to be segmented. Because of the large variation of the froth image patterns and quality, it is difficult to existing segmentation algorithm, therefore, we modified and combined different existing image segmentation algorithms to form a new segmentation algorithm for froth images. In the algorithm, we used and modified a thresholding algorithm to automatically detect maximum of bubbles, then perform morphological technique to growing bubble regions. The over-segmentation problem was resolved by a object merging algorithm based bubble shape analysis. In the paper, three froth image segmentation results are demonstrated, which shows that the developed segmentation is reasonable for froth images.
出处
《湖南师范大学自然科学学报》
EI
CAS
北大核心
2002年第2期23-26,共4页
Journal of Natural Science of Hunan Normal University