Abstract
The hit-or-miss transform is a mathematical morphological processing designed to find objects in image. Its extension to grayscale domain is not unique, but Barat’s method is the most appropriate to find specific objects with bandwidth in space and color evolutions. This tolerance is possible with the use of non-flat structuring elements. In this paper, a color extension of the Barat’s method is presented. For this purpose, a new mathematical morphology method, based on the concept of convergence in the CIELAB space and where the definition of non-flat structuring elements is possible, is used. A comparison with the existing approaches in the literature is done. Results are given and commented on synthetic and real images.
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Notes
The contrast is the distance between the object and the background color.
Depending on the vectorial ordering.
\(\hbox {SNR}_{\mathrm{DB}}= 20.\log _{10}\left( \frac{A_{\mathrm{signal}}}{A_{\mathrm{noise}}}\right) \).
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This work is a part of a project MORFISM supported by L’Oréal and a project agreements State-region (FEDER).
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Ledoux, A., Richard, N., Capelle-Laizé, AS. et al. Perceptual color hit-or-miss transform: application to dermatological image processing. SIViP 9, 1081–1091 (2015). https://doi.org/10.1007/s11760-013-0537-z
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DOI: https://doi.org/10.1007/s11760-013-0537-z