The Automatic Extraction Method of the Pore of the Rock Casting Body Image
Abstract: To solve the problems of time consuming and low efficiency in the traditional extraction of pore analysis from rock casting body image, an entirely new method of extraction of pore analysis from rock casting body image was proposed. Firstly, the rock casting body, which is produced by the pigmented resin or liquid glue, has a certain color, such as dark blue, light blue, dark red, light red and so on. The different characteristic regions have a certain concentration of H components by the analysis of the characteristic region. Secondly, using sample training, that is to say, the threshold value of the H components of the sample characteristic region is calculated. Finally, by using the threshold value of the H components, the same batch of rock casting body image can be extracted directly. In this way, we can realize the automatic extraction of the pore of the rock casting body image.
文章引用: 代 贺 , 滕奇志 , 伦增珉 (2017) 岩石铸体薄片图像孔隙自动提取方法。 图像与信号处理， 6， 17-28. doi: 10.12677/JISP.2017.61003
 杨修国. 关于直方图双峰法的研究与改进[J]. 电子设计工程, 2012, 20(12): 176-179.
 Li, X.C., Zhao, L. and Zhao, S.H. (2010) The Establishment and Application of Based on DSP Image Processing Dynamic Multi-Threshold Template. 2010 2nd International Conference on Future Computer and Communication (ICFCC), 21-24 May 2010, V2-828-V2-832.
 陈琪, 熊博莅, 陆军, 等. 改进的二维Otsu图像分割方法及其快速实现[J]. 电子与信息学报, 2010, 32(5): 1100- 1104.
 Alsaeed, D.H., Bouridane, A., Elzaart, A., et al. (2012) Two Modified Otsu Image Segmentation Methods Based on Lognormal and Gamma Distribution Models. International Conference on Information Technology and E-Services, Sousse, 24-26 March 2012, 1-5. https://doi.org/10.1109/icites.2012.6216680
 张爱华. 一种基于熵优化的区域生长图像分割方法[J]. 华中科技大学学报(自然科学版), 2004, 32(7): 40-42.
 Gorsevski, P.V., Onasch, C.M., Farver, J.R., et al. (2002) Detecting Grain Boundaries in Deformed Rocks Using a Cellular Automata Approach. Computers & Geosciences, 42, 136-142. https://doi.org/10.1016/j.cageo.2011.09.008
 Zhou, Y., Starkey, J. and Mansinha, L. (2004) Segmentation of Petrographic Images by Integrating Edge Detection and Region Growing. Computers & Geosciences, 30, 817-831. https://doi.org/10.1016/j.cageo.2004.05.002
 Heilbronner, R. (2000) Automatic. Grain Boundary Detection and Grain Size Analysis Using Polarization Micrographs or Orientation Images. Journal of Structural Geology, 22, 969-981. https://doi.org/10.1016/S0191-8141(00)00014-6
 Liu, M.S., Li, J. and Liu, H. (2013) The Colour and Texture—A Novel Image Retrieval Technology Based on Human Vision. International Journal of Innovative Computing & Applications, 5, 47-56. https://doi.org/10.1504/IJICA.2013.052354
 Gonzalez, R.C., Woods, R.E. and Masters, B.R. (2009) Digital Image Processing, Third Edition. Journal of Biomedical Optics, 14, 257-262. https://doi.org/10.1117/1.3115362