Restitution Automation
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Restitution Automation

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    Restitution Automation Restitution Automation Presentation Transcript

    • RESTITUTION AUTOMATION FOR CLOSE-RANGE APPLICATIONS
      Artemis Valanis, Andreas Georgopoulos
      School of Rural and Surveying Engineering
      Laboratory of Photogrammetry
      National Technical University of Athens
    • Development of a semi- or fully- automated method for the restitution process of image products in the case of close-range applications
      Applicability of the method for the case of Byzantine monuments
      Trial applications on other kinds of monuments
      OBJECTIVES
    • Construction complexity
      Presence of decorative elements
      Tuffstone is the basic construction material
      OBJECT DESCRIPTION
    • Extensive research of the properties of the object of interest and trial application of several image processing techniques
      Development of a method for the detection of the objects of interest
      Program and interface development
      Application of the proposed method for Byzantine and other kinds of monuments
      Evaluation of the results
      COURSE OF STUDY
    • Noise reduction methods(mean-, order statistics and adaptive filters)
      Image enhancement in the frequency domain (FFT, Ideal filters, Butterworth filters)
      Edge detection algorithms (Sobel, Prewitt, Canny, LoG, color edge detection)
      Morphological processing (erosion, dilation, morphological gradient)
      Segmentation and thresholding techniques
      TRIAL APPLICATIONS OF VARIOUS IMAGE PROCESSING TECHNIQUES
    • PROBLEMS ENCOUNTERED IN THE DETECTION OF THE OBJECTS
      Object complexity
      Strong resemblance in the appearance of the stones and joints
      Existence of inclinated planes and shadowed areas
      Erosion of the construction material
      Presence of moisture
    • PROPOSED APPROACH
      Sample selection
      Calculation of the mean value and standard deviation of the gray values of the pixels of the sample
      Region Growing
    • ROUTE FOLLOWED BY THE ALGORITHM
    • REGIONS EXAMINED BY THE ALGORITHM ACCORDING TO THE POSITION OF THE CANDIDATE PIXEL
    • Connectivity criterion: At least two pixels of the examined region must belong to the object
      Homogeneity criterion: The arithmetic (mr) mean of the gray values of the candidate and the identified as object pixels of the currently examined regionmust belong in the confidence interval given by Equation [1]
      ms - z ssmr ms + z ss [1]
      CRITERIA EVALUATED BY THE ALGORITHM
    • DETECTION RESULTS FOR A SINGLE OBJECT
    • Definition of the area to be processed
      Sample selection for the objects that must be detected
      Application of an adaptive thresholding technique
      Improvement of the binary image which is yielded by the thresholding process
      Exploitation of the improved binary image for the automated sample selection
      Application of the algorithm for each one of the objects detected
      AUTOMATION OF THE PROCESS
    • EXAMPLE
    • INTERFACE OF THE PROGRAM
    • APPLICATIONS – BYZANTINE MONUMENTS
    • EXPERIMENTS FOR THE CASE OF THE DOME
    • EXPERIMENTS FOR THE DECORATIVE ELEMENTS
    • FINAL RESULTS AND COMPARISON
    • Tolerance: σ
      Tolerance: 2σ
      Tolerance: 3σ
      EVALUATION
    • EVALUATION
    • The proposed method is very flexible and fast
      The program used for the application of the developed methods offers a wide range of possibilities and is user friendly
      The accuracy of the restitution is objectively characterized as satisfactory for the case of Byzantine monuments
      The restitution process is accelerated by a factor of at least 1.7
      CONCLUSIONS
    • Examination of more complex properties such as texture
      Thorough review and further development of the fully automated method
      Detailed research of the properties of other kinds of monuments
      SUGGESTIONS
    • Thank you for your attention!
    • VECTORIZATION
    • ARCH OF ADRIANOS
    • NATIONAL THEATRE
    • BYZANTINE WALL(DAPHNI MONASTERY)