Splicing image forgery identification based on artificial neural network approach and texture features.
Araz Rajab AbrahimMohd Shafry Mohd RahimGhazali Bin SulongPublished in: Clust. Comput. (2019)
Keyphrases
- texture features
- image features
- color features
- artificial neural networks
- textured images
- gabor filtering
- texture feature extraction
- input image
- image classification
- image retrieval
- multiscale
- texture classification
- textural information
- image analysis
- forgery detection
- gray level
- image content
- color and texture features
- textural features
- image representation
- texture patterns
- geometrical features
- image segmentation
- texture analysis
- computer vision
- texture features are extracted
- mixture of gaussian distributions
- texture description
- texture images
- feature extraction
- bank of gabor filters
- gabor filters
- texture information
- texture descriptors
- feature vectors
- natural textures
- segmentation algorithm
- image texture
- similarity measure
- distance measure
- segmentation method
- shape features
- local binary pattern
- gabor wavelets
- rotation invariant
- spatial information
- visual features
- color images
- gray level co occurrence matrix
- image structure
- pixel level
- image processing