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» Fuzzy Morphology for Edge Detection and Segmentation
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ISVC
2007
Springer
13 years 11 months ago
Fuzzy Morphology for Edge Detection and Segmentation
Abstract. This paper proposes a new approach for structure based separation of image objects using fuzzy morphology. With set operators in fuzzy context, we apply an adaptive alpha...
Atif Bin Mansoor, Ajmal S. Mian, Adil Khan, Shoab ...
ICIP
2001
IEEE
14 years 6 months ago
Synthesis and applications of lattice image operators based on fuzzy norms
In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that can be expressed as nonli...
Petros Maragos, Vassilis Tzouvaras, Giorgos B. Sta...
IFSA
2003
Springer
89views Fuzzy Logic» more  IFSA 2003»
13 years 10 months ago
Lattice Fuzzy Signal Operators and Generalized Image Gradients
In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that are nonlinear convolutions...
Petros Maragos, Vassilis Tzouvaras, Giorgos B. Sta...
ARTCOM
2009
IEEE
13 years 12 months ago
Image Segmentation - A Survey of Soft Computing Approaches
—Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found w...
N. Senthilkumaran, R. Rajesh
IJAR
2006
197views more  IJAR 2006»
13 years 5 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi