[go: up one dir, main page]

Zaied et al., 2012 - Google Patents

Decision support system including fuzzy logic and multiresolution wavelet network modeling for content-based image retrieval

Zaied et al., 2012

View PDF
Document ID
15348753535605205181
Author
Zaied M
Abdennour I
Amar C
Publication year
Publication venue
Wulfenia J

External Links

Snippet

In this paper, we propose a new structure of indexing and images retrieval process based on feature extraction by multi-resolution wavelet network (MRWN) modeling and a Fuzzy Decision Support System (FDSS) for measuring similarity. First, each query image is …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y10S707/99936—Pattern matching access
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

Similar Documents

Publication Publication Date Title
Tadi Bani et al. Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains
Tyagi Content-based image retrieval
CN101692224B (en) High-resolution remote sensing image search method fused with spatial relation semantics
CN102750385B (en) Correlation-quality sequencing image retrieval method based on tag retrieval
CN114510594B (en) A traditional pattern image retrieval method based on self-attention mechanism
CN108132968A (en) Network text is associated with the Weakly supervised learning method of Semantic unit with image
Taheri et al. Effective features in content-based image retrieval from a combination of low-level features and deep Boltzmann machine
Zhao et al. An angle structure descriptor for image retrieval
Liu et al. Improving image retrieval by integrating shape and texture features
Asadi Amiri et al. A novel content-based image retrieval system using fusing color and texture features
Zaied et al. A power tool for Content-based image retrieval using multiresolution wavelet network modeling and Dynamic histograms
Prasomphan Toward Fine-grained Image Retrieval with Adaptive Deep Learning for Cultural Heritage Image.
CN110674334B (en) A near-duplicate image retrieval method based on deep learning features of consistent regions
Wang et al. Texture image retrieval using DNST domain local neighborhood intensity pattern
CN106570124B (en) Object-level association rule-based remote sensing image semantic retrieval method and system
Zaied et al. Decision support system including fuzzy logic and multiresolution wavelet network modeling for content-based image retrieval
CN106570123B (en) Remote sensing image retrieval method and system based on adjacent object association rule
Mumtaz et al. A novel texture image retrieval system based on dual tree complex wavelet transform and support vector machines
Liu et al. A novel image segmentation combined color recognition algorithm through boundary detection and deep neural network
Niu et al. Statistical texture image retrieval in DD-DTCWT domain using magnitudes and relative phases
CN116206123A (en) Method for detecting target based on multi-characterization feature extraction method
Singh et al. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR).
CN106570127A (en) Remote sensing image retrieval method and system based on object attribute association rules
Shambharkar et al. A comparative study on retrieved images by content based image retrieval system based on binary tree, color, texture and canny edge detection approach
Maur et al. Content based image retrieval system using K-means clustering algorithm and SVM classifier technique