Research Catalog
Artificial neural networks for image understanding
- Title
- Artificial neural networks for image understanding / Arun D. Kulkarni.
- Author
- Kulkarni, Arun D., 1947-
- Publication
- New York : Van Nostrand Reinhold, ©1994.
Items in the Library & Off-site
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Use in library | QA76.87 .K84 1994 | Off-site |
Details
- Description
- xi, 210 pages : illustrations; 25 cm.
- Series Statement
- VNR computer library
- Uniform Title
- VNR computer library.
- Subject
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- 1. Introduction -- 1.1. Artificial Neural Network Models -- 1.2. Image Understanding -- 2. Preprocessing -- 2.2. Gray Scale Manipulation Techniques -- 2.3. Edge Enhancement Techniques -- 2.4. ANN Models for Brightness Perception and Boundary Detection -- 2.5. Noise Removal Techniques -- 2.6. Image Restoration -- 2.7. Interpolation -- 3. Feature Extraction -- 3.2. Feature Extraction Using Moment Invariants -- 3.3. Feature Extraction Using Orthogonal Transforms -- 3.4. Fourier Transform Domain Feature Extraction -- 3.5. ANN Model for FT Domain Feature Extraction -- 3.6. Artificial Neural Network Model Using WHT Domain Feature Extraction -- 3.7. Invariant Feature Extraction Using ADALINE -- 4. Texture Analysis -- 4.2. Statical Methods -- 4.3. Spectral Approaches -- 4.4. Artificial Neural Network Models for Texture Analysis -- 5. Supervised Classifiers -- 5.2. Conventional Classifiers -- 5.3. ANN Models as Classifiers -- 6. Unsupervised Classifiers -- 6.2. Conventional Clustering Techniques -- 6.3. Self-Organizing Networks -- 7. Associative Memories -- 7.2. Bidirectional Associative Memory -- 7.3. Optimal Associative Memory -- 7.4. Selective Reflex Memory -- 7.5. Hopfield Network as an Autoassociative Memory -- 7.6. Bidirectional Associative Memories with Multiple Input/Output Patterns -- 7.7. Temporal Associative Memories -- 7.8. Counterpropagation Networks as Associative Memory -- 7.9. Image-Processing Applications -- 8. Three-Dimensional Structures and Motion -- 8.2. Optical Flow -- 8.3. Computation of Optical Flow Using Neural Networks -- 8.4. Estimation of 3-D Motion Parameters -- 8.5. Neural Networks for Motion Estimation -- 8.6. Stereo Vision -- 8.7. Stereopsis with Neural Networks -- 9. Neurocomputing -- 9.2. Digital Neural Network Processors -- 9.3. Analog Neurocomputers -- 10. Applications -- 10.2. Remote Sensing -- 10.3. Medical Image Processing -- 10.4. Fingerprint Processing -- 10.5. Character Recognition -- 10.6. Characterization of Faces -- 10.7. Data Compression -- 10.8. Knowledge-Based Pattern Recognition -- 10.9. Extraction of Weak Targets in a High-Clutter Environment.
- ISBN
- 0442009216
- 9780442009212
- LCCN
- 93004892
- OCLC
- ocm28213488
- 28213488
- SCSB-9191130
- Owning Institutions
- Princeton University Library