Abdulqader et al., 2022 - Google Patents
Plain, edge, and texture detection based on orthogonal momentAbdulqader et al., 2022
View PDF- Document ID
- 4789274101288533534
- Author
- Abdulqader D
- Hathal M
- Mahmmod B
- Abdulhussain S
- Al-Jumeily D
- Publication year
- Publication venue
- IEEE Access
External Links
Snippet
Image pattern classification is considered a significant step for image and video processing. Although various image pattern algorithms have been proposed so far that achieved adequate classification, achieving higher accuracy while reducing the computation time …
- 238000001514 detection method 0 title description 2
Classifications
-
- 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
- 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
- G06K9/62—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
- G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
-
- 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
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- 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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image 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
- G06F17/30244—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
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Agarwal et al. | Automatic mass detection in mammograms using deep convolutional neural networks | |
| Abdulqader et al. | Plain, edge, and texture detection based on orthogonal moment | |
| Han et al. | Efficient Markov feature extraction method for image splicing detection using maximization and threshold expansion | |
| Fang et al. | Deep3DSaliency: Deep stereoscopic video saliency detection model by 3D convolutional networks | |
| Salehani et al. | MSdB-NMF: MultiSpectral document image binarization framework via non-negative matrix factorization approach | |
| Wahyuningrum et al. | A novel hybrid of S2DPCA and SVM for knee osteoarthritis classification | |
| Mehta et al. | Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic | |
| Lad et al. | Boundary preserved salient object detection using guided filter based hybridization approach of transformation and spatial domain analysis | |
| Liang et al. | Robust hashing with local tangent space alignment for image copy detection | |
| Annaby et al. | Fast template matching and object detection techniques using φ-correlation and binary circuits | |
| Vega et al. | Image tampering detection by estimating interpolation patterns | |
| Hameed et al. | Content based image retrieval based on feature fusion and support vector machine | |
| Frantc et al. | Machine learning approach for objective inpainting quality assessment | |
| Zurada et al. | Nonnegative matrix factorization and its application to pattern analysis and text mining | |
| Sakurai et al. | Restoring aspect ratio distortion of natural images with convolutional neural network | |
| Wu et al. | Screen content image quality assessment based on the most preferred structure feature | |
| Mahmood | Defocus Blur Segmentation Using Genetic Programming and Adaptive Threshold. | |
| Zanaty et al. | A novel approach for color image segmentation based on region growing | |
| Talele et al. | Facial expression recognition using digital signature feature descriptor | |
| Voronin et al. | No-reference visual quality assessment for image inpainting | |
| Fadoua et al. | Medical video watermarking scheme for telemedicine applications | |
| Baleanu et al. | Image Splicing Detection Using Generalized Whittaker Function Descriptor. | |
| Chhikara | Performance evaluation of first and second order features for steganalysis | |
| Ouyang et al. | Segmented gray-code kernels for fast pattern matching | |
| Mastromichalakis et al. | An MR image classification scheme based on fourier moment analysis and linear support vector machine |