Computer pattern analysis

Figure 23. The 2D illustration of the digital pattern analysis for computing the Euler characteristic. The local curvature variables xe —1,0, +1 are assigned to the each lattice site at the boundaries of black pixels. The Euler characteristic is a sum of local curvature variables...

Pleissner, K. P., Emig, S., )ungblut, P., Hildebrandt, A., Fleck, E. (1994a). Dilated cardiomyopathy computer-assisted analysis of endomyocardial biopsy protein patterns by two-dimensional gel electrophoresis. Eur. J. Clin. Chem. Clin. Biochem. 32, 615-624. 

Canny, J. (1986) A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8(6), pp. 679-698. 

Since the authors review on Oil Spill Identification (1,2), a number of significant occurrences have firmly established oil fingerprinting as a valid approach to the identification of spill sources. These include increased understanding of the effects of weathering on oils, continued refinement of various analytical techniques, continued refinement of computer pattern recognition techniques for comparison of oils, the adoption by ASTM of new methods of analysis of waterborne oils (3,4, 5), the establishment of a Central Oil Identification Laboratory (COIL)... 

Medtrac Technologies (102,103) have the MDI Chronolog, which holds the canister, and the unit can record the date and time of actuations. This information can then be downloaded to a computer for analysis. Other studies (104) have attached a nebulizer chronology from Forefront Technologies to a MDI, again to determine the patterns of actuations. 

Takeda M, Hideki I, Kobayashi S (1993) Fourier transform method of fringe pattern analysis for computer based topography and interferometry. J Opt Soc Am 72(1) 156-160... 

FIGURE 19.43 Atypical structured lighting system. (Source Jorvis, R.A. 1983. A perspective on range finding techniques for computer vision. J Transactions on Pattern Analysis and Machine Intelligence 5(2) l22-l i9. l9S i IEEE.)... 

Recent trends in x-ray diffraction are the increased use of electronic data collection and computer analysis, and in situ or dynamic experiments. These include experiments where the x-ray patterns are obtained while the sample is stretched, heated to its melting point, or aligned with an electric field. Synchrotron radiation is several orders of magnitude more intense than regular laboratory x-ray sources, and its use allows real-time study of deformation or fiber spinning, for example. More synchrotron sources usable for polymer science are currently being built, and although they are limited to national facilities, access should improve in the future. The increased power of computer data analysis permits whole pattern analysis where the crystal structure, orientation and crystallinity are simultaneously determined [10]. More detailed numerical analysis has led to interpretation of x-ray patterns in terms of three phases in semicrystalline polymers instead of the usual two. 

---