Author/Editor		Angulo, Jesus; Velasco-Forero, Santiago
Title		Structurally adaptive mathematical morphology based on nonlinear scale-space decompositions
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 30, št. 2
Publication year		2011
Volume		str. 111-22
Language		eng
Abstract		Standard formulation of morphological operators is translation invariant in the space and in the intensity: the same processing is considered for each point of the image. A current challenging topic in mathematical morphology is the construction of adaptive operators. In previous works, the adaptive operators are based either on spatially variable neighbourhoods according to the local regularity, or on size variable neighbourhoods according to the local intensity. This paper introduces a new framework: the structurally adaptive mathematical morphology. More precisely, the rationale behind the present approach is to work on a nonlinear multi-scale image decomposition, and then to adapt intrinsically the size of the operator to the local scale of the structures. The properties of the derived operators are investigated and their practical performances are compared with respect to standard morphological operators using natural image examples.
Descriptors		IMAGE PROCESSING, COMPUTER-ASSISTED MATHEMATICAL COMPUTING PARTICLE SIZE