Skip to Main content Skip to Navigation
Conference papers

Region Growing Structuring Elements and New Operators Based on Their Shape

Abstract : This paper proposes new adaptive structuring elements in the framework of mathematical morphology. These structuring elements (SEs) have a fixed size but they adapt their shape to the image content by choosing, recursively, similar pixels in gray-scale, with regard to the seed pixel. These new SEs are called region growing structuring elements (REGSEs). Then, we introduce an original method to obtain some features by analyzing the shape of each REGSE. We get a powerful set of operators, which is able to enhance efficiently thin structures in an image. We illustrate the performance of the proposed filters with an application: the detection of cracks in the framework of non-destructive testing. We compare these methods with others, including morphological amoebas and general adaptive neighborhood structuring elements and we see that these operators, based on REGSE, yield the best detection for our application.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Saturday, June 15, 2013 - 6:26:41 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM
Long-term archiving on: : Monday, September 16, 2013 - 4:04:52 AM


Files produced by the author(s)


  • HAL Id : hal-00834502, version 1


Vincent Morard, Etienne Decencière, Petr Dokládal. Region Growing Structuring Elements and New Operators Based on Their Shape. Signal and Image Processing (SIP 2011), Dec 2011, Dallas, United States. pp.Pattern recognition, track 759-018. ⟨hal-00834502⟩



Record views


Files downloads