A Study on the Surface Image Processing of the Mixed Mineralized Lining
Keywords:Geometric optics, lining surface inspection, computer vision, background differential image, Plane homography.
Background/Objectives: A method for qualitatively interpreting the special surface characteristics and the geometrical optics relationships, which are relatively important when intending to obtain the information of the objects from the contrast images, and for finally detecting the areas of the problems that look like the faults from the images (linings) of the solid bodies that are materialized with the mixed minerals is proposed.
Methods/Statistical analysis: By extracting the interested areas on real time by using the background differential images and by dividing the interested areas by carrying out a principal component analysis and by calculating the vector relations, whether or not there is a lining fault is decided.
Findings: This research proposes an image handling method that detects and classifies the problematic areas that look like the faults from the lining images which are materialized with the mixed minerals that were entered through the camera, and it shows the examples in which the method was actually applied.
Improvements/Applications: The method being proposed will be applied for automatically detecting the cracked parts on the surface of the lining, for classifying the types, and measuring the extent of the fault.
 Joaquim Salvi, Xavier Armangue, Joan Batlle (2002), A Comparative review of camera calibrating methods with accuracy evaluation,Pattern Recognition 35,1617-1635.
 Mohamed Benallal and Jean Meunier (2002), Camera Calibration with a Viewfinder, The 15th InternationalConference on Vision Interface, May 27-29, Calgary, Canada.
 Yong-Shen Chen, Sheng-Wen Shih, Yi-Ping Hung and Chiou-ShannFuh (2001), Simple and Efficient Method of Calibrating a Motorized Zoom Lens, Image and Vision Computing, Vol. 19, No. 14, 1099-1110.
 M. Dare and C.S. Fraser (2000), Linear Infrastructure Mapping Using Airborne Video Imagery and Subsequent Integration into a GIS, Inprocessings of the IEEE International Geoscience and Remote Sensing Symposium.
 R. S. Brid, (1997). Two Dimensional Pattern Matching. Information Processing Letters, Vol. 6, No. 5, Oct., 168-170.
 J. Salvi, X. Armangue and J. Batle. (2002). A Comparative review of camera calibrating methods with accuracy evaluation. Pattern Recognition 35, 1617-1635.
 Anthony G. Willey and Kam W. Wong. (1995). Geometric calibration of zoom lenses for computer vision metrology. PE&RS, vol. 61, No. 1, 69-74
 C. Lawrence Zitnick, T. Kanade. (2000). A Cooperative algorithm for stereo matching and occlusion detection. IEEE Trans. Pattern Anal. Mach. Intell., Vol. 22, no 7, 675-684.
 JuyangWeng, Paul cohen and Marc Herniou. (1992). Camera calibration with distortion models and accuracy evaluation. IEEE Pattern Analysis and Machine Intelligence, Vol. 14, No. 10, 674-684.
 W. I. Grotsky and R. Jain. (1983). Optimal Quadtrees for Image Segments. IEEE Trans. PAMI, Vol.5, 77-83.
View Full Article:
How to Cite
LicenseAuthors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under aÂ Creative Commons Attribution Licensethat allows others to share the work with an acknowledgement of the work''s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal''s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeÂ The Effect of Open Access).