6533b7d4fe1ef96bd1261e38

RESEARCH PRODUCT

Methods of Digital Hilbert Optics in the Analysis and Objects’ Recognition

Adam Sudoł

subject

Class (computer programming)business.industryComputer scienceBinary imagedigital Hilbert transformationsSample (graphics)GrayscaleSet (abstract data type)Identification (information)OpticsDiscriminantInformation systemComputer visionArtificial intelligenceobject identificationtexture identificationbusiness

description

This paper describes methods on how to increase the effectiveness of objects’ pictures identification based on correlation methods. The main concept of increasing the discriminant effectiveness is based on highlighting of characteristic points of recognized objects by applying Hilbert transformations. Study of the effectiveness of Digital Hilber Optics (DHO) have been performed on a set of aircrafts, whose models rendered first as binary images, and then as grayscale. It has been performed a very detailed analysis of requirements on resources of information system’s which would in a real world support the discriminatory decision of objects’ class for which the sample database has been created.

yearjournalcountryeditionlanguage
2016-09-24
https://doi.org/10.1007/978-3-319-46589-0_6