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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Detection of Texture and Isolated Features Using Alternating Morphological Filters
verfasst von : Igor Zingman, Dietmar Saupe, Karsten Lambers
Erschienen in: Mathematical Morphology and Its Applications to Signal and Image Processing
Verlag: Springer Berlin Heidelberg
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Recently, we introduced a morphological texture contrast (MTC) operator that allows detection of textural and non-texture regions in images. In this paper we provide comparison of the MTC with other available techniques. We show that, in contrast to other approaches, the MTC discriminates between texture details and isolated features, and does not extend borders of texture regions. Using the ideas underlying the MTC operator, we develop a complementary operator called morphological feature contrast (MFC) that allows extraction of isolated features while not being confused by texture details. We illustrate an application of the MFC operator for extraction of isolated objects such as individual trees or buildings that should be distinguished from forests or urban centers. We furthermore provide an example of how this operator can be used for detection of isolated linear structures. We also derive an extended version of the MFC that works with vector-valued images.