The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Jun 2016)

USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

  • V. S. Gorbatsevich,
  • Yu. V. Vizilter

DOI
https://doi.org/10.5194/isprs-archives-XLI-B3-859-2016
Journal volume & issue
Vol. XLI-B3
pp. 859 – 862

Abstract

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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.