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浮选中泡沫图像的分割算法 被引量:4

A Segmentation Algorithm in Bubble Image in Floatation
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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
关键词 泡沫图像 图像分割算法 计算机视觉 矿物浮选 泡沫监控 形态学 Algorithms Bubbles (in fluids) Image quality Morphology Textures
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参考文献6

  • 1[1]N SADR-KAZEMI,J J CILLIERS. An image processing algorithm for measurement of flotation froth bubble size and shape distributions. Mineral Engineering [J], 1997,10(10):1 075-1 083.
  • 2[2]A CIPRIANO, M GUARINI, R VIDAL. A real time visual sensor for supervision of flotation cells[J]. Mineral Engineering, 1988,11(6):489-499.
  • 3[3]N OTSU. A threshold selection method from gray-level histogram[J].Systems Man Cybernet, 1979, SMC-9, 62-66.
  • 4[4]F MEYER,S BEUCHER. Morphological segmentation[J]. Journal of Visual Communication and Image Representation,1990,1(1):21-46.
  • 5[5]SUK M, CHUNG S M. A new image segmentation technique based on partition mode test[J]. Pattern Recognition,1983,16(5):469-480.
  • 6[6]WANG W X, O STEPHANSSON. On-line system for monitoring the size distribution of aggregates on a conveyor belt. Measurement of Blast of Fragmentation[M].Rotterdam: Balkema,1996.

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  • 6TOKOI'IO T, et al. hnage Analysis of tlydrophobieity and diielrclric't:'rop-,rty of Polymer Insulating material [ C]. 2002 Annual tleportConference on l-lectrical lnsulatiqm anddk'lectric I-henom-'na,2002: 348 -350.
  • 7SUN Wtmhong,ZtlOU Weidong.cJot+nt+r dtecting Based or+ Nonlinear Conlph'x Diffusion. Pt'-cess. Bi-intbrmatics and biomediamcdic.al Engineer- ing ( ICBBE'), C1.51h Intemalionmal Conlk+rencc .2011:1-4.
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  • 9KOENDERINK J. The structure of images [ J ]. BiologicalCyhcrnetics, vol, 1984,50( 5 ) :363-367.
  • 10GILBOA G, SOGHEN N. ZEEVI Y Y. Image enhancement and ,Ic- noising by complex diffusion process[ J ]. IEEE Transactions on I'A-MI,2004,25(8) :1 020-1 038.

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