2000
DOI: 10.1007/978-3-7908-1858-1_1
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Soft Computing and Image Analysis: Features, Relevance and Hybridization

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Cited by 6 publications
(8 citation statements)
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“…Image analysis and pattern recognition are fields in which such ambiguity is inherent [1]. This ambiguity is a function of the variations in color intensity, hue, and noise in photographic images.…”
Section: Introductionmentioning
confidence: 98%
“…Image analysis and pattern recognition are fields in which such ambiguity is inherent [1]. This ambiguity is a function of the variations in color intensity, hue, and noise in photographic images.…”
Section: Introductionmentioning
confidence: 98%
“…The current trend in image reconstruction and recognition systems involves supplementing and partially replacing the classical methods with artificial intelligence systems, which incorporate machine learning algorithms. Various papers [1][2][3][4] have reviewed machine learning methods in image recognition, with particular emphasis on medical applications. It is worth noting that modern image reconstruction and recognition systems typically rely on optimization algorithms with constraints while utilizing appropriately selected regularization methods [5].…”
Section: Introductionmentioning
confidence: 99%
“…Note that the -band wavelet transform is a tool for viewing signals at different scales and decomposes a signal by projecting it onto a family of functions generated from a single wavelet basis via its dilations and translations [13]. Neurofuzzy computing [14], which integrates the merits of fuzzy set theory and artificial neural networks (ANNs), enables the feature selection process artificially more intelligent. Incorporation of fuzzy set theory helps one to deal with uncertainties in remotely sensed images in an efficient manner.…”
Section: Introductionmentioning
confidence: 99%