Development of a polarized microscopic image management system for supporting asbestos qualitative analysis utilizing dispersion staining

This paper describes development of an automated polarized microscopic image management system for supporting qualitative analysis of asbestos. Dispersion staining is a visual observation method. Experts count all particles in the microscope view and also the number of the fibrous asbestos fibers. For supporting this work, we are developing an automated system to ease experts' burdens for efficient observation. The system takes polarized images using the microscope with an automated polarizer and registers them on the database via on-line process. A prototype system was developed. Its functional performance is also discussed.

[1]  Yasuaki Uno.  Optical Identification of Asbestos by Dispersion Staining Method , 1992 .

[2]  L C Kenny.  Asbestos fibre counting by image analysis--the performance of the Manchester Asbestos Program on Magiscan. , 1984, The Annals of occupational hygiene.

[3]  Hiroshi Mizoguchi,et al.  Development of an Automated Microscope for Supporting Qualitative Asbestos Analysis by Dispersion Staining , 2009, J. Robotics Mechatronics.

[4]  Paul A. Baron,et al.  Evaluation of the Magiscan Image Analyzer for Asbestos Fiber Counting , 1987 .

[5]  Katsuhito Yamaguchi,et al.  DEVELOPMENT OF AN AUTOMATIC SYSTEM FOR COUNTING ASBESTOS FIBERS USING IMAGE PROCESSING , 1998 .

[6]  Hiroshi Mizoguchi,et al.  Image processing of particle detection for asbestos qualitative analysis support method -Particle counting system based on classification of background area- , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[7]  L. C. Kenny,et al.  Asbestos fibre counting by image analysis , 1984 .

[8]  S. F. Emmons,et al.  United States Geological Survey: Bulletin No. 225 , 1904 .

[9]  B. A. Lange,et al.  Determination of microgram quantities asbestos by x-ray diffraction: chrysotile in thin dust layers of matrix material , 1979 .

[10]  Yoshio Inoue,et al.  Cross-check between Automatic Counting System and Visual Counting Facilities of Asbestos Fibers , 1999 .

[11]  Kazuhiro Hotta,et al.  Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features , 2009, ICONIP.

[12]  Hiroshi Mizoguchi,et al.  Development of an automatic polarized microscopic imaging system for asbestos qualitative analysis , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.