Image processing with neural networks- A review

Pattern Recognition

Volumn 35, Issue 10, 2002, Pages 2279-2301

  Egmont Petersen, M ^a   De Ridder, D ^b   Handels, H ^c  

^a UTRECHT UNIVERSITY   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c UNIVERSITY OF LÜBECK   (Germany)

Author keywords

Digital image processing; Feature extraction; Image compression; Image understanding; Invariant pattern recognition; Neural networks; Object recognition; Optimization; Preprocessing; Segmentation

Indexed keywords

ALGORITHMS; FEEDFORWARD NEURAL NETWORKS; IMAGE SEGMENTATION; OBJECT RECOGNITION; OPTIMIZATION;

IMAGE PROCESSING ALGORITHMS;

FEATURE EXTRACTION;

ARTIFICIAL NEURAL NETWORK; DIGITAL IMAGE; IMAGE PROCESSING; PATTERN RECOGNITION;

EID: 0036779091     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(01)00178-9     Document Type: Short Survey

References (254)

1. Statistical classification methods
2. Learning internal representations by error propagation
3. A review on image segmentation techniques
4. Artificial neural networks in cardiology: A review
5. A neural network image reconstruction technique for electrical impedance tomography
6. Image reconstruction by a Hopfield neural network
7. Reconstruction of off-axis electron holograms using a neural net
8. Vector-entropy optimization-based neural-network approach to image reconstruction from projections
9. Generalised adaptive neural filters
10. Image restoration preserving discontinuities: The Bayesian approach and neural networks
11. Cellular networks: Theory
12. Cellular networks: Applications
13. The applicability of neural networks to non-linear image processing
14. Sequential and parallel image restoration: Neural network implementations
15. Relative effectiveness of neural networks for image noise suppression
16. A network of networks processing model for image regularization
17. Speeding up the generalized adaptive neural filters
18. Color image processing in a cellular neural-network environment
19. Spatial versus temporal stability issues in image processing neuro chips
20. Special issue on cellular neural networks
21. Image restoration using a modified Hopfield network
22. Image recovery and segmentation using competitive learning in a layered network
23. Order statistic-neural network hybrid filters for gamma-camera-bremsstrahlung image restoration
24. Hybrid neuro-fuzzy filter for impulse noise removal
25. Image filtering using evolutionary neural fuzzy systems
26. Improvement on performance of modified Hopfield neural network for image restoration
27. Genetically trained cellular neural networks
28. Structure and properties of generalized adaptive neural filters for signal enhancement
29. Range image segmentation by dynamic neural network architecture
30. Neural dynamics of motion grouping-From aperture ambiguity to object speed and direction [review]
31. A multistage neural network for color constancy and color induction
32. Hierarchical artificial neural networks for edge enhancement
33. A general purpose model for image operations based on multilayer perceptrons
34. Neural computing for noise filtering, edge detection and signature extraction
35. The properties and training of a neural network based universal window filter developed for image processing tasks
36. A new ART-based neural architecture for pattern classification and image enhancement without prior knowledge
37. Edge detection using a neural network
38. Endocardinal boundary detection using a neural network
39. Neural processing of targets in visible multispectral IR and SAR imagery
40. Image compression by self-organized Kohonen map
41. Noise suppressing sensor encoding and neural signal orthonormalization
42. Neural network approaches to image compression
43. A VLSI neural processor for image data compression using self-organization networks
44. A self organizing map approach to image quality
45. A computer vision approach to air flow analysis
46. Neural network techniques for object orientation detection: Solution by optimal feedforward network and learning vector quantization approaches
47. Nonlinear vector prediction using feed-forward neural networks
48. Robust image association by recurrent neural subnetworks
49. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
50. Optimally adaptive transform coding
51. Neural network-based systems for handprint OCR applications
52. High fidelity adaptive vector quantization at very low bit rates for progressive transmission of radiographic images
53. Use of nonlinear principal component analysis and vector quantization for image coding
54. A modular neural network vector predictor for predictive image coding
55. Adaptive combination of PCA and VQ networks
56. On the monotonicity of the performance of a Bayesian classifier
57. Pattern recognition
58. A simplified neuron model as a principal component analyzer
59. Neural networks, principal components, and subspaces
60. Neural networks and principal component analysis: Learning from examples without local minima
61. Nonlinear principal component analysis using autoassociative neural networks
62. Internal color representation acquired by a five-layer neural network
63. Principal curves
64. Modelling the manifolds of images of handwritten digits
65. Neural networks for maximum likelihood clustering
66. Stereo matching technique based on the perceptron criterion function
67. Rotation-invariant neural pattern recognition system estimating a rotation angle
68. Hybrid artificial neural network segmentation and classification of dynamic contrast-enhanced MR imaging (DEMRI) of osteosarcoma
69. A hierarchical neural network system for signalized point recognition in aerial photographs
70. Distortion tolerant pattern recognition based on self-organizing feature extraction
71. The use of convolution operators for detecting contaminants in food images
72. A subspace projection approach to feature extraction-The 2-D Gabor transform for character recognition
73. Recognition of handprinted Chinese characters by constrained graph matching
74. Instantiating deformable models with a neural net
75. Two-stage neural network for volume segmentation of medical images
76. Medical image segmentation by a constraint satisfaction neural network
77. A neural network based stochastic active contour model (NNS-SNAKE) for contour finding of distinct features
78. Assessments of neural network classifier output codings using variability of Hamming distance
79. Topologische Merkmalskarten zur automatischen Mustererkennung in medizinischen Bilddaten
80. Image segmentation using a neural network
81. Neural network, self-organization and object extraction
82. Object background classification using Hopfield type neural network
83. Use of fuzziness measures in layered networks for object extraction: A generalization
84. Visualization of multidimensional data sets using a neural network
85. Neural dynamics of surface perception: Boundary webs, illuminants, and shape from shading
86. Cortical dynamics of three-dimensional surface perception-Binocular and half-occluded scenic images
87. A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain
88. KAMEDIN: A telemedicine system for computer supported cooperative work and remote image analysis in radiology
89. A multilayer self organizing feature map for range image segmentation
90. Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks
91. Classification of binary document images into textual or nontextual data blocks using neural network models
92. Constraint satisfaction neural networks for image segmentation
93. Stochastic and deterministic networks for texture segmentation
94. Self-organizing neural networks for perception of visual motion
95. Analysis of functional magnetic resonance imaging data using self-organizing mapping with spatial connectivity
96. Using visual latencies to improve image segmentation
97. Neural-network-based segmentation of multi-modal medical images-A comparative and prospective study
98. An adaptive clustering algorithm for image segmentation
99. Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks
100. Multi-modal image segmentation using a modified Hopfield neural network
101. A system for counting people in video images using neural networks to identify the background scene
102. An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images
103. Segmentation of ultrasonic images with neural networks
104. A modular artificial neural network for texture processing
105. Discrete-time CNN for image segmentation by active contours
106. An automated procedure for cluster analysis of multivariate satellite data
107. Robust segmentation of noisy images using a neural network model
108. Image segmentation based on oscillatory correlation
109. Quantification and segmentation of brain tissues from MR images-A probabilistic neural network approach
110. Segmentation of magnetic resonance brain images using analogue constraint satisfaction neural networks
111. Connectionist model binarization
112. Optimal thresholding using multi state stochastic connectionist approach
113. On edge and line linking in graylevel images with connectionist models
114. Optical flow estimation and moving object segmentation based on median radial basis function network
115. Image processing and neural networks for recognition of cartographic area features
116. Detection of bone tumours in radiographic images using neural networks
117. Range surface characterization and segmentation using neural networks
118. Kohonen networks for multiscale image segmentation
119. Decision based neural networks with signal image classification applications
120. Texture classification by wavelet packet signatures
121. Learning in the combinatorial neural model
122. Feature selection in the pattern classification problem of digital chest radiograph segmentation
123. Unsupervised texture classification using vector quantization and deterministic relaxation neural network
124. Adaptive classification of textured images using linear prediction and neural networks
125. Segmentation of MR images using neural nets
126. Constraint satisfaction neural networks for image recognition
127. On the quality of neural net classifiers
128. Texture feature performance for image segmentation
129. A survey on evaluation methods for image segmentation
130. Real-time analysis of ships in radar images with neural networks
131. Numerical simulation of neural networks with translation and rotation invatiant pattern recognition
132. Statistical approach to shape from shading-reconstruction of 3-D face surfaces from single 2-D images
133. PsyCOP-A psychologically motivated connectionist system for object perception
134. Object recognition with Gabor functions in the dynamic link architecture-Parallel implementation on a transputer network
135. The what-and-where filter a spatial mapping neural network for object recognition and image understanding
136. Escherichia coli O157:H7 restriction pattern recognition by artificial neural network
137. Computer-aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural network
138. On the relationships between statistical pattern recognition and artificial neural networks
139. Visual guidance of a pig evisceration robot using neural networks
140. Invariant image classification using triple-correlation-based neural networks
141. Hardware implementation of RAM neural networks
142. 3-D target recognition via sonar-A neural network model
143. Recognition of radiopaque markers in X-ray images using a neural network as nonlinear filter
144. Detection of leukocytes in contact with the vessel wall from in vivo microscope recordings using a neural network
145. Rotation-invariant neural pattern-recognition system with application to coin recognition
146. Neocognitron: A hierarchical neural network capable of visual pattern recognition
147. Image recognition with an analog neural net chip
148. Neural net-based identification of cells expressing the p300 tumor-related antigen using fluorescence image analysis
149. ID number recognition of X-ray films by a neural network
150. Optical implementation of neural networks by the use of nonlinear joint transform correlators
151. Adaptive, evolving hybrid connectionist systems for image pattern recognition
152. Neural network-based inspection of solder joints using a circular illumination
153. Adaptive bidirectional associative memories
154. Backpropagation applied to handwritten zip code recognition
155. Handwritten digit recognition-Applications of neural network chips and automatic learning
156. Reduction of false positives in lung nodule detection using a two-level neural classification
157. Neural ensembles: Simultaneous recognition of multiple 2-D visual objects
158. Evaluation of convolutional neural networks for visual recognition
159. Invariant pattern recognition for range images using the phase Fourier transform and a neural network
160. Computer-aided diagnosis: A neural-network-based approach to lung nodule detection
161. Model-based neural network for target detection in SAR images
162. Target discrimination in synthetic aperture radar using artificial neural networks
163. Optical pattern recognition system based on a winner-take-all model of a neural network
164. Genetic selection and neural modelling of piecewise-linear classifiers
165. Coarse-coded higher-order neural networks for PRSI object recognition
166. Higher-order neural networks applied to 2D and 3D object recognition
167. Chromosome location and feature extraction using neural networks
168. Automatic target recognition using a feature-decomposition and data-decomposition modular neural network
169. Composite classifiers for automatic target recognition
170. A time delay neural network algorithm for estimating image-pattern shape and motion
171. Foveal automatic target recognition using a multiresolution neural network
172. Object recognition using multilayer Hopfield neural network
173. Reduction of breast biopsies with a modified self-organizing map
174. Fast road classification and orientation estimation using omni-view images and neural networks
175. Radar image segmentation using recurrent artificial neural networks
176. Digital image processing
177. Scale and the differential structure of images
178. Learning long-term dependencies with gradient descent is difficult
179. Analyzing images containing multiple sparse patterns with neural networks
180. Signature verification using multiple neural classifiers
181. Single and multiscale detection of masses in digital mammograms
182. Cork quality classification system using a unified image processing and fuzzy-neural network methodology
183. Three-dimensional object recognition from two-dimensional images using wavelet transforms and neural networks
184. Nuclear diffuseness as a measure of texture: Definition and application to the computer-assisted diagnosis of parathyroid adenoma and carcinoma
185. A computer vision approach to digit recognition on pulp bales
186. Off-line signature verification based on geometric feature extraction and neural network classification
187. Feature-based neural wavelet optical character recognition system
188. Detecting danger labels with RAM-based neural networks
189. Off-line signature verification based on geometric feature extraction and neural network classification
190. Detection of stellate distortions in mammograms
191. Classification of invariant image representations using a neural network
192. A neural network capable of learning and inference for visual pattern recognition
193. Face recognition-A convolutional neural-network approach
194. Shape recognition with a neural network classifier based on a fast polygon approximation technique
195. A note on efficient parallel algorithms for the computation of 2D image moments
196. A comparison of neural net classifiers and linear tree classifiers: Their similarities and differences
197. Multispectral image classification using gabor filters and stochastic relaxation neural network
198. pRAM nets for detection of small targets in sequences of infra-red images
199. Studies on object recognition from degraded images using neural networks
200. Recognition of overlapping particles in granular product images using statistics and neural networks
201. Integrating neural networks with image pyramids to learn target context
202. Text identification for document image analysis using a neural network
203. Three-dimensional target recognition and tracking using neural networks trained on optimal views
204. Use neural networks to determine matching order for recognizing overlapping objects
205. 3-D Object recognition and shape estimation from image contours using b-splines, shape invariant matching, and neural network
206. Feature space trajectory distorted object representation for classification and pose estimation
207. Implications of physical symmetries in adaptive image classifiers
208. Toward a completely automatic neural-network-based human chromosome analysis
209. Automatic target recognition for naval traffic control using neural networks
210. Promising research: Vision-based robot positioning using neural networks
211. Exploiting neural trees in range image understanding
212. Diagnosis of focal bone lesions using neural networks
213. Bayesian and neural networks for geographic information processing
214. An explanation facility for a neural network trained to predict arterial fibrillation directly after cardiac surgery
215. The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
216. Voronoi pyramids controlled by Hopfield neural networks
217. A neural network approach to CSG-based 3-D object recognition
218. Polygonal approximation using a competitive Hopfield neural network
219. Hopfield network for stereo correspondence
220. A neural matching algorithm for 3-D reconstruction from stereo pairs of linear images
221. A Hopfield neural network for adaptive image segmentation: An active surface paradigm
222. Pattern recognition by homomorphic graph matching using Hopfield neural networks
223. Pattern recognition by graph matching using the Potts MFT neural networks
224. Optimal mapping of graph homomorphism onto self organising hopfield network
225. Relaxation by the Hopfield neural network
226. A Bayesian interpretation for the Hopfield network
227. Stimulation initiative for european neural applications (SIENA)
228. Connectionist models of face processing-A survey
229. PAPNET-assisted primary screening of conventional cervical smears
230. An automatic method to discriminate malignant masses from normal tissue in digital mammograms
231. A computer-aided design mammography screening system for detection and classification of microcalcifications
232. Survey of neural network technology for automatic target recognition
233. Assessing the importance of features for multi-layer perceptrons
234. Feature selection: Evaluation, application, and small sample performance
235. Floating search methods in feature selection
236. Support vector domain description
237. Sequential selection of discrete features for neural networks-A Bayesian approach to building a cascade
238. Conundrum of combinatorial complexity
239. Efficient pattern recognition using a new transformation distance
240. Analytical approaches to the neural net architecture design
241. Network information criterion-Determining the number of hidden units for an artificial neural network model
242. Neuro-fuzzy computing for image processing and pattern recognition
243. Self-organized formation of topologically correct feature maps
244. Neural networks and physical systems with emergent collective computational abilities