### Abstract

This chapter presents a brief description of chapters devoted to the theoretical development of computer vision. Original investigations in mathematical morphology, estimations of structural changes, the hierarchical adaptive Karhunen-Loeve and projective transforms, among others, provide the great contribution in mathematical foundations of computer vision. Each theoretical chapter involves practical implementations, which demonstrate the merit of proposed methods in practice.

Original language | English |
---|---|

Title of host publication | Computer Vision in Control Systems-1 |

Editors | Margarita Favorskaya, Lakhmi Jain |

Place of Publication | Germany |

Publisher | Springer |

Pages | 1-8 |

Number of pages | 8 |

Volume | 73 |

Edition | 1 |

ISBN (Print) | 9783319106526 |

DOIs | |

Publication status | Published - 2015 |

### Publication series

Name | Intelligent Systems Reference Library |
---|---|

Publisher | Springer Science + Business Media |

ISSN (Print) | 1868-4394 |

## Fingerprint Dive into the research topics of 'Development of Mathematical Theory in Computer Vision'. Together they form a unique fingerprint.

## Cite this

Favorskaya, M., & JAIN, L. (2015). Development of Mathematical Theory in Computer Vision. In M. Favorskaya, & L. Jain (Eds.),

*Computer Vision in Control Systems-1*(1 ed., Vol. 73, pp. 1-8). (Intelligent Systems Reference Library). Springer. https://doi.org/10.1007/978-3-319-10653-3_1