Open AccessANALYSIS OF ROTATION AND SCALE INVARIANCE FOR PROXIMITY MEASURES IN TARGET DETECTION
Author(s) -
Dmitry A. Utev,
И. В. Борисова,
V. P. Yushchenko
Publication year - 2020
Publication title -
interèkspo geo-sibirʹ
Language(s) - English
Resource type - Journals
ISSN - 2618-981X
DOI - 10.33764/2618-981x-2020-8-2-100-106
Subject(s) - zoom , artificial intelligence , computer vision , rotation (mathematics) , measure (data warehouse) , computer science , scale (ratio) , image (mathematics) , scaling , mathematics , pattern recognition (psychology) , geometry , data mining , geography , physics , cartography , lens (geology) , optics
The problem of stability of object detection in images using proximity measures is considered. The purpose of the work is to determine the degree of invariance of various proximity measures for detecting objects by reference when rotating and zooming the scanned image. The proximity measure that is most resistant to these geometric transformations of the image is found out. The proximity measures are analyzed: correlation, comparison, Chamfer Distance. The target location is based on the coordinates of the extremum of the target function. Modeling is performed in the Matlab software package. A database of thirty television images was created to test the proximity measures. Test images contain the required objects and imitations of both complex and simple backgrounds. It was determined that all considered proximity measures steadily determine the target with small turns and scaling factors.