Image enhancement and segmentation using weighted morphological connected slope filters

The morphological connected slope filters (MCSFs) are studied as gray level transformations, and two contributions are made on these operators with the purpose of modifying the gradient criterion performance. The proposals consist of: (a) the introduction of three weighting functions and (b) the app...

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Bibliographic Details
Published in:Journal of electronic imaging 2013-04, Vol.22 (2), p.023022-023022
Main Authors: Mendiola-Santibañez, Jorge D, Terol-Villalobos, Iván R
Format: Article
Language:English
Online Access:Get full text
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Summary:The morphological connected slope filters (MCSFs) are studied as gray level transformations, and two contributions are made on these operators with the purpose of modifying the gradient criterion performance. The proposals consist of: (a) the introduction of three weighting functions and (b) the application of a displacement parameter. The displacement parameter will permit the image segmentation in a certain intensity interval and the contrast improvement at the same time. This characteristic is an important difference among the MCSFs introduced previously, together with the other transformations defined in the current literature utilized uniquely to enhance contrast. Also, an application example of the weighted morphological slope filters is provided. In such an example, white matter is separated from brain magnetic resonance images T1.
ISSN:1017-9909
1560-229X
DOI:10.1117/1.JEI.22.2.023022