Abstract
In this paper we present a new method for obtaining a list of interest objects from a single image. Our object extraction method works on two well known algorithms: the Canny edge detection method and the quadrilaterals detection. Our approach allows to select only the significant elements of the image. In addition, this method allows to filter out unnecessary key points in a simple way (for example obtained by the SIFT algorithm) from the background image. The effectiveness of the method is confirmed by experimental research. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Grycuk, R., Gabryel, M., Korytkowski, M., Scherer, R., & Voloshynovskiy, S. (2014). From single image to list of objects based on edge and blob detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8468 LNAI, pp. 605–615). Springer Verlag. https://doi.org/10.1007/978-3-319-07176-3_53
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
