Scenery image recognition and interpretation using fuzzy inference neural networks

Pattern Recognition

Volumn 35, Issue 8, 2002, Pages 1793-1806

  Iyatomi, Hitoshi ^a   Hagiwara, Masafumi ^a  

^a KEIO UNIVERSITY   (Japan)

Author keywords

Fuzzy inference; Image recognition; Image understanding; Neural network; Scenery image

Indexed keywords

FUZZY SETS; HEURISTIC METHODS; IMAGE ANALYSIS; IMAGE SEGMENTATION; INFERENCE ENGINES; NEURAL NETWORKS; PARALLEL ALGORITHMS;

FUZZY INFERENCE NEURAL NETWORKS (FINN); IMAGE INTERPRETATION PROCESSES;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0036681030     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(01)00171-6     Document Type: Article

References (26)

1. Knowledge-based interpretation of outdoor natural color scenes
2. The scheme system
3. Context-based vision: Recognizing objects using information from both 2-D and 3-D imagery
4. A Construction of a new image database system which realizes fully automated image keyword extraction
5. Scene interpretation using 3-D information extracted from monocular color images
6. Feedback control strategies for object recognition
7. Closed-loop object recognition using reinforcement learning
8. A retrieval method of outdoor scenes using object sketch and an automatic index generation method
9. Retrieval of images using pixel based object models
10. Self-organization for object extraction using a multilayer neural network and fuzziness measures
11. Remote data analysis by Kohonen feature map and competitive learning
12. ANFIS: Adaptive-network-based fuzzy inference system
13. Training of fuzzy logic systems using nearest neighborhood clustering
14. The self-organizing map
15. Fuzzy inference neural network
16. Generalized fuzzy inference neural network using self-organizing feature map
17. Knowledge extraction from scenery image and recognition using fuzzy inference neural network
18. K-mean-type algorithms
19. An image segmentation method by the region integration using the initial dependence of the K-means algorithm
20. Unsupervised segmentation of colored texture images by using multiple GMRF models and hypothesis of merging primitives
21. Active region segmentation of color images using neural networks
22. Image segmentation and analysis via multiscale gradient watershed hierarchies
23. Segmentation of texture images using a multiresolution Gaussian autoregressive model
24. Extended fractal analysis for texture classification and segmentation
25. Color image segmentation Using ISODATA Clustering algorithm