Local feature extraction in images
Вантажиться...
Дата
2021
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Анотація
The methods of the local feature point extraction are analyzed. The analysis shows that the
most effective detectors are based on the brightness gradient determination. They usually use the
Harris angle detector, which is complex in calculations. The algorithm complexity minimization
contradicts both the detector effectiveness and to the high dynamic range of the analyzed image. As a
result, the high-speed methods could not recognize the feature points in the heavy luminance
conditions.
The modification of the high dynamic range (HDR) image compression algorithm based on
the Retinex method is proposed. It contains an adaptive filter, which preserves the image edges. The
filter is based on a set of feature detectors performing the Harris-Laplace transform which is much
simpler than the Harris angle detector. A prototype of the HDR video camera is designed which
provides sharp images. Its structure simplifies the design of the artificial intelligence engine, which is
implemented in FPGA of medium or large size.
Опис
Ключові слова
FPGA, feature extraction, HDR, pattern recognition, artificial intelligence
Бібліографічний опис
Sergiyenko, A. Local feature extraction in images / Sergiyenko Anatoliy, Serhiienko Pavlo, Orlova Mariia // Information, Computing and Intelligent systems. – 2021. – No. 2. – Pp. 35–47. – Bibliogr.: 43 ref.