Hybrid intelligent methodology to design translation invariant morphological operators for Brazilian stock market prediction.
Ricardo de A. AraújoPublished in: Neural Networks (2010)
Keyphrases
- translation invariant
- morphological operators
- mathematical morphology
- hybrid intelligent
- spatially variant
- stock market prediction
- structuring elements
- multiscale
- denoising
- object identification
- image processing
- morphological filters
- image analysis
- computer vision
- gray scale
- remote sensing
- texture classification
- object recognition
- shift invariant
- morphological operations
- wavelet transform
- co occurrence
- noise reduction
- efficient implementation
- texture features
- frequency domain
- natural images
- edge detection