Volume XLI-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 859-862, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 859-862, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  10 Jun 2016

10 Jun 2016

USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

V. S. Gorbatsevich and Yu. V. Vizilter V. S. Gorbatsevich and Yu. V. Vizilter
  • State Research Institute of Aviation Systems (GosNIIAS), 125319, 7, Viktorenko str., Moscow, Russia

Keywords: Mathematical morphology, object detection, Wavelets, Wavelet analysis, object segmentation

Abstract. In this paper, we propose an original method for objects detection based on a special tree-structured image representation – the trees of morphlets. The method provides robust detection of various types of objects in an image without employing a machine learning procedure. Along with a bounding box creation on a detection step, the method makes pre-segmentation, which can be further used for recognition purposes. Another important feature of the proposed approach is that there are no needs to use a running window as well as a features pyramid in order to detect the objects of different sizes.