Chi Z., Yan H., Pham T. — Fuzzy Algorithms. With Applications to Image Processing and Pattern Recognition :: Электронная библиотека попечительского совета мехмата МГУ

Главная Ex Libris Книги Журналы Статьи Серии Каталог Wanted Загрузка ХудЛит Справка Поиск по индексам Поиск Форум

Авторизация

Поиск по указателям

Chi Z., Yan H., Pham T. — Fuzzy Algorithms. With Applications to Image Processing and Pattern Recognition

Обсудите книгу на научном форуме

Нашли опечатку?
Выделите ее мышкой и нажмите Ctrl+Enter

Название: Fuzzy Algorithms. With Applications to Image Processing and Pattern Recognition

Авторы: Chi Z., Yan H., Pham T.

Аннотация:

This text deals with the subject of fuzzy algorithms and their applications to image processing and pattern recognition. Subjects covered include membership functions; fuzzy clustering; fuzzy rulers and defuzzification; fuzzy classifiers; and combined classifiers.

Язык:

Рубрика: Computer science/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 1996

Количество страниц: 232

Добавлена в каталог: 17.10.2010

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

$g_{\lambda}$ -fuzzy measure      194
$\alpha$       5
Actual data distribution      17
Adaptive thresholding      168
Adaptive vector quantization (AVQ)      26
Algebraic form      156
Algebraic simplification of switching functions      156
Angle difference      23
Asymmetric membership functions      20
Backpropagation algorithm      192
Basic line pattern matching algorithm      117
batch mode      162
Bayes decision rule      47
Bell-shaped membership function      18 39
Bounded product      11
Bounded sum      11
c-means algorithm      86
C-means clustering      24
c-means clustering procedure      87
c-means clusters      165 174
Centroid defuzzification      35 161 167
Chain generation      202
Character database      174 178
Characteristic function      3
Choosing contact lenses      147
Choquet integral      195
Class labels      139
Class separability      54
Classification problems      142
Closest cluster center      87
Cluster centers      24 86
Cluster validity      91
Cluster variance      24
Clustering      23
Clustering process      86
Color image segmentation      95
Combined classifiers      189 204 210
Compactness and separation validity function      93
Comparison between hard and fuzzy clustering algorithms      89
Comparison of thresholding methods      84
Compensative connectives      152
Completely-specified rules      157
Compositional rule      13
Conflicting rules      142
Confusion matrix      190
Conjugate gradient algorithm      54
Conjunctive rule      12
Continuity of fuzzy set      194
Convex      5
Convex and concave curvatures      174
Convex combination      8
corner points      179
Correct classification rate      190
Correction factors      196
Coupled control points      103
Covariance ellipsoid      28
Crisp sets      3 144
Crossover point      5
Crosspoint level      21 33
Crosspoints      21
Curved segments      178
Decision regions      48
Decision tree approach for generating fuzzy rules      145
Decision trees      145 183
Defuzzification      151 159
Defuzzification method      145
Defuzzification scheme      103
Defuzzification using neural networks      183
Defuzzification using two-layer perceptron      161
Degree of overlapping      26 33
Degree of truth      3
Design of a fuzzy rule-based recognition system      187
Difference intensity (DI)      164
Direction cosines      28
Discriminant analysis      54
Disemblance measure      23
Document image segmentation      89
Domain intervals      142
Eigenvalues      28
Entailment rule      12
Entropy measure      59 117
Error function      36 42 162 192
Estimation of resources      100
Euclidean distance      23 86 88
Euclidean distance measure      24 27 208
Euclidean half-length      28
Evenly-distributed membership functions      21
Extra lines in a line pattern      125
FCM clustering procedure      88
Feature map      28
Feature selection      174 202
Fired fuzzy rules      35
Firing degree      35
First-order estimation      26
First-order learning      192
Fisher criterion      55 60
Fuzzified decision rules      150
Fuzziness      2 26 33 100
Fuzzy aggregation networks      152
Fuzzy binary relation      12
Fuzzy c-means      100
Fuzzy c-means algorithm      87
Fuzzy clustering      14
Fuzzy compactness measure      46
Fuzzy complement      8
Fuzzy concentration      10
Fuzzy densities      195 197
Fuzzy dilation      10
Fuzzy entropy      15 46
Fuzzy grade matrix      151 182
Fuzzy inference system      100
Fuzzy integral      15
Fuzzy integral approach      208
Fuzzy integral model for classifier fusion      195
Fuzzy integrals      195
Fuzzy intensification      11
Fuzzy interpolation, fuzzy extrapolation      102
Fuzzy intersection      8
Fuzzy logic      3
Fuzzy measure      15 194
Fuzzy membership function      14
Fuzzy minus      10
Fuzzy models for image processing and pattern recognitions      14
Fuzzy parameter estimation      100
Fuzzy patches      26
Fuzzy pattern matching      14
Fuzzy plus      10
Fuzzy relations      11
Fuzzy relaxation      112
Fuzzy rule minimization using data clustering      156
Fuzzy rule minimization using Karnaugh Maps      156
Fuzzy rule-based systems      14 139
Fuzzy rules      139 159 165 178
Fuzzy search domain      100
Fuzzy set      3
Fuzzy sets      3
Fuzzy singleton      5
Fuzzy space-grade system      100
Fuzzy subsets      18 156
Fuzzy system      17
Fuzzy thresholding algorithm      57
Fuzzy union      8
Fuzzying the input space      142
Gaussian distributions      50
Gaussian probability densities      52
Gaussian-type function      102
Generalized confusion matrix      190
Generalized mean operator      152
Generalized modus ponens      13
Grades of cluster centers      102

Gradient descent algorithm      35 162
Gradient information for numerical optimization      53
Half-height points      39
Handwritten Chinese character recognition      112 134
Handwritten numeral recognition      178
Hard partition      142
Harmonic mean      152
Heuristic selections      18
Huang and Wang's fuzzy thresholding algorithm      46
Huang and Wang's thresholding method      57
Hyper-ellipsoids      24 28
ID3-derived fuzzy rule-based classifier      178 186
ID3-derived fuzzy rules      197
IF-THEN rules      139
Image pixel intensity histogram      52
Image processing      14
Image thresholding      47
Incompletely-specified rules      157 158
Index of area coverage      46
Index of fuzziness      46
Index of nonfuzziness      46
Information-based method      146
Intersection      152
Intersection connectives      152
Inverse square distance      106
Iron-ore deposit      104
junction points      179
Kittler and Illingworth's minimum error thresholding method      46
Kriging      106
Labeled data      85
Law of excluded middle      3
Learning coefficient      26
Learning rate      37
Left width of a membership function      20
Level-cut      5
Line convolutions      174
Line location similarity      112
Line orientation similarity      113
Line pattern matching      14 109
Line relation similarity      114
Linguistic fuzzy model      102
Linguistic rules      139
Linguistic terms      18 139
Local centroids      26
Local contrast (J)      164
Local covariance matrix      27
Machine Learning Databases      147
Majority voting      191 206
Map segmentation      139
Markov chain      202
Markov chain-based classifier      201
Matching cost      119
Matching degree      42 160
Maximum accumulated matching defuzzification      160 178
Maximum matching defuzzification      160
Maximum posteriori probability      206
Maxterm expression      156
Membership function merging      33
Membership function tuning      35
Membership functions      3 17 26 28 33 57 102 112 113 117 142 151 152 165 174 182 197
Minimization of fuzzy rules      153
Minimum error thresholding method      56
Minimum product-of-sums rules      156
Minimum sum-of-products      157
Minimum sum-of-products rules      156
Minterm expression      156
Missing lines in a line pattern      125
Model fitting method for threshold selection      52
Monotonicity of fuzzy set      194
MR image segmentation      93
Multi-classifier combination for handwritten numeral classification      197
Multi-classifier combination using a fuzzy integral model      195
Multi-classifier combination using a multilayer perceptron      192
Multi-classifier combination using majority voting      191
Multi-classifier combination using unanimous voting      191
Multi-classifier using maximum posteriori probability (MPP)      191
Multi-valued logic      3
Multilevel thresholding      63
n-ary fuzzy relation      12
Nearest neighbor classifier      198
Neural network approach of tuning membership functions      38
NIST Special Database      3 178 180
Noisy data      150
Noisy line patterns      125
Non-circular branch      179
Non-convex      5
Non-fuzzy outputs      35
Non-iterative thresholding algorithms      61
normal      5
Numerical optimization      53
Optimal threshold      52
Optimized defuzzification      159 186
Optimized defuzzification parameters      161
Optimized nearest neighbor classifier      198
Optimized prototypes      199
Otsu's thresholding method      46 54
Parameter identification      104
Partial shape matching      112
Partition coefficient      91
Partition entropy      91
Pattern centroids      27
Pattern recognition      2 14
Peak point      20
Point pattern matching      109 134
Posterior probability      47
Printed upper-case English letter recognition      174
Priori probabilities      54 66
probability      1
Probability of error      48
Projection rule      13
Quantization vectors      26
Randomness and fuzziness      192
recursive method      60
Rejection rate      190
Resemblance measure      23
Right width of a membership function      20
Rotated line patterns      129
Rule bank      144
Rule degree      142
Rule generation using neural networks      152
Rules for fuzzy inference      12
s-function      11 18
Search-distance radius      100
Second-order estimation      27
Second-order learning      192
Segmentation of building images      70
Segmentation of document images      69
Segmentation of human images      71
Segmentation of map images using fuzzy rules      163
Self-organizing map (SOM)      28
Shannon's entropy function      59
Sigmoidal transfer function      42 43 163
Sign operator      38 164
Significance level test      150
Similarity measures      23
Simplified decision rules      150 183
Siy and Chen's fuzzy line labeling      179
SOM prototypes      31
Soundness degree      142
Standard deviation (SD)      164
Steepest descent algorithm      37
Straightness of a line      179
Stroke order      110
Subjective membership functions      17
Subnormal      5
Substitution rate      190
Sugeno integral      195
Supervised c-means clustering algorithm      178
Supervised pattern recognition method      85
Symmetric membership functions      20

1 2

О проекте