Change detection in segmented images based on reference filters
M.A. Lebedev, A.Yu. Rubis, V.S. Gorbatsevich, Yu.V. Vizilter, O.V. Vygolov



Full text of article: Russian language.

In this paper we substantiate and develop a new comparative diffusion morphology technique based on filters that allow geometrical changes in the images under comparison. Two alternative interpretations of the morphological projector using “absolute” and “relative” definitions of a morphological image shape are proposed. Diffusion morphology based on superposition of two Pytiev’s projectors on mosaic shapes is considered. Diffusion morphology based on 'reference' filters is proposed as a generalization of the approach. The advantage of using diffusion morphology compared to classical Pytiev’s projective morphology in change detection applications is demonstrated.

mathematical morphology, image matching, diffusion maps.

Lebedev MA, Rubis AYu, Gorbatsevich VS, Vizilter YuV, Vygolov OV. Change detection in segmented images based on reference filters. Computer Optics 2016; 40(1): 80-6. DOI: 10.18287/2412-6179-2016-40-1-80-86..


  1. Pytiev YuP, Chulichkov AI. Methods of morphological image analysis [in Russian]. Moscow: “Fizmatlit” Publisher; 2010.
  2. Vizilter YuV, Gorbatsevich VS, Rubis AYu, Zheltov SYu. Shape-Based Image Matching Using Heat Kernels and Diffusion Maps. ISPRS Archives 2014; XL-3: 357-364.
  3. Vizilter YuV, Zheltov SuY, Bondarenko AV, Ososkov MV, Morzhin AV. Image processing and analysis in technical vision applications [in Russian]. Moscow: “Fizmatlit” Publisher; 2010.
  4. Pytiev YuP. Skew projectors and relative shapes in image morphological analysis [in Russian]. Computational Mathematics and Mathematical Physics 2013; 53(12): 2100-2122.
    © 2009, IPSI RAS
    Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS, Russia, 443001, Samara, Molodogvardeyskaya Street 151; e-mail:; Phones: +7 (846 2) 332-56-22, Fax: +7 (846 2) 332-56-20