Ultimate opening: invariants, anamorphoses, and filtering

Abstract. This work is focused on the robustness of the ultimate opening (UO) and its associated function (AFUO) related to illumination changes and marker detection. It is well known that morphological filters commute to anamorphoses. This property ensures the robustness of the morphological filters to the lighting changes. However, the supremum of residues of these filters requires some conditions to commute to anamorphoses. Therefore, initially, a study of the robustness to anamorphoses is carried out. We demonstrate that the UO is invariant to linear anamorphoses and it is robust to power anamorphoses. On the other hand, related to marker detection, a study of the UO and AFUO is carried out. It is detected that small pieces of discs corrupt the UO, complicating use in marker detection. This behavior occurs because opening residues are not idempotent, so a modified UO is introduced to attenuate this inconvenience enabling a better selection of markers. Likewise, an example of a better selection of markers is carried out from images previously filtered and enhanced. Finally, the use of these transformations in image segmentation is illustrated.

[1]  H. Heijmans Morphological image operators , 1994 .

[2]  J. Serra,et al.  An overview of morphological filtering , 1992 .

[3]  Iván R. Terol-Villalobos,et al.  Morphological Connected Filtering on Viscous Lattices , 2009, Journal of Mathematical Imaging and Vision.

[4]  S. Beucher,et al.  Morphological segmentation , 1990, J. Vis. Commun. Image Represent..

[5]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .

[6]  Beatriz Marcotegui,et al.  Adaptive scene-text binarisation on images captured by smartphones , 2016, IET Image Process..

[7]  E. Heyn Short reports from the metallurgical and metallographical laboratory of the Royal Mechanical and Technical Testing Institute of Charlottenburg , 1903 .

[8]  H. Abrams Grain size measurement by the intercept method , 1971 .

[9]  Jean Paul Frédéric Serra Viscous Lattices , 2005, Journal of Mathematical Imaging and Vision.

[10]  Beatriz Marcotegui,et al.  Ultimate Attribute Opening Segmentation with Shape Information , 2009, ISMM.

[11]  Gerald Schaefer,et al.  Hue that is invariant to brightness and gamma , 2001, BMVC.

[12]  Susanta Mukhopadhyay,et al.  Multi-scale contrast enhancement of oriented features in 2D images using directional morphology , 2017 .

[13]  Souhaïl Outal,et al.  Quantification par analyse d'images de la granulométrie des roches fragmentées : amélioration de l'extraction morphologique des surfaces, amélioration de la reconstruction stéréologique , 2006 .

[14]  Hayde Peregrina-Barreto,et al.  Automatic grain size determination in microstructures using image processing , 2013 .

[15]  Beatriz Marcotegui,et al.  Scene text localization based on the ultimate opening , 2007, ISMM.

[16]  Beatriz Marcotegui,et al.  Shape ultimate attribute opening , 2011, Image Vis. Comput..

[17]  Beatriz Marcotegui,et al.  Ultimate Opening and Gradual Transitions , 2011, ISMM.

[18]  Gf Vander Voort Grain Size Measurement , 1984 .

[19]  Ronaldo Fumio Hashimoto,et al.  Ultimate grain filter , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[20]  Luc Vincent,et al.  Morphological grayscale reconstruction in image analysis: applications and efficient algorithms , 1993, IEEE Trans. Image Process..

[21]  Serge Beucher,et al.  Controlling the ultimate openings residues for a robust delineation of fragmented rocks , 2009 .

[22]  Andrés Serna,et al.  Ultimate Opening Combined with Area Stability Applied to Urban Scenes , 2017, ISMM.

[23]  Hayde Peregrina-Barreto,et al.  Morphological rational operator for contrast enhancement. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.

[24]  Antonio Pietrosanto,et al.  Standard uncertainty evaluation in image-based measurements , 2004 .

[25]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[26]  Hugues Talbot,et al.  Directional Morphological Filtering , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[27]  Serge Beucher,et al.  Numerical residues , 2007, Image Vis. Comput..