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BlackSquare

BlackSquare. Open System for Automation of Scientific Research in Image Understanding Information Research and Development, Ltd. 44/2, Vavilov str., Moscow, Russia, 119991 Tel./ Fax.: 7 (095) 135 90 33; e-mail: igourevi@ccas.ru.

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BlackSquare

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  1. BlackSquare Open System for Automation of Scientific Research in Image Understanding Information Research and Development, Ltd. 44/2, Vavilov str., Moscow, Russia, 119991 Tel./ Fax.: 7 (095) 135 90 33; e-mail: igourevi@ccas.ru

  2. BlackSquareThe Systemfor Image Analysis and Tool for Algorithm Development System Requirements: • Microsoft Windows 95/98/NT/2000/ME/XP • 64 Mb main memory or more • 40 Mb disk space • SVGA video card

  3. Image processing Detection, extraction, and calculation of image features Pattern recognition Obtaining information on: problem-solving techniques; the solved problems; the algorithms Algorithm testing and comparing mathematical and functional characteristics of algorithms BlackSquareImage Analysis and Recognition Problems

  4. Modularity of system structure Standard algorithmic content Openness for the user with respect to the objects, libraries of algorithms, lexicographic and expert information content Possibility to deal with a broad set of data types Possibility of combination and unification of algorithms BlackSquareConstruction Principles

  5. BlackSquareFunctional Scheme

  6. Tables of databases that compose the knowledge base Software for knowledge base support Shell and user interfaces Set of object-oriented libraries for the operations with data -reading, storing, allocating, transforming Algorithmic libraries and macros Help system BlackSquareMain Blocks

  7. Object types: vectors matrices images BMP, TIFF, PCX, JPEG fragments of vectors, matrices and images Operations: arithmetic and logical operations affine transformations Fourier transforms wavelet-transforms filtration edge and contour detection matching of image fragments and textures morphologic operations segmentation methods of discrete optimization calculation of metrics for matrices and vectors algorithms for decision making BlackSquareBasic Algorithmic Content

  8. BlackSquareExample 1: Metro and Kalman - 1

  9. BlackSquareExample 1: Metro and Kalman - 2

  10. BlackSquareExample 1: Metro and Kalman - 3

  11. BlackSquareExample 1: Metro and Kalman - 4

  12. BlackSquareExample 2: Hematology - 1

  13. BlackSquareExample 2: Hematology - 2

  14. BlackSquareExample 3: Maze

  15. BlackSquare Thank you for your attention

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