Image Texture Extraction Using Multi-Resolution Scale Wavelets
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Resource Overview
Texture feature extraction from images using multi-resolution scale wavelets (two key parameters: R1 ranging 1.1-1.2 for scale adjustment, R2 as threshold between 10-30)
Detailed Documentation
In the domain of image texture extraction, we can employ multi-resolution scale wavelets for processing. This approach involves two key parameters: R1, which serves as a scale factor and can be selected within the range of 1.1 to 1.2, and R2, which functions as a threshold parameter typically chosen between 10 and 30.
From an implementation perspective, the algorithm typically involves constructing a wavelet pyramid through successive filtering and downsampling operations. The scale parameter R1 controls the progression between resolution levels, while R2 determines the significance threshold for wavelet coefficients during texture feature selection. A practical implementation would utilize discrete wavelet transform functions (e.g., wavedec2 in MATLAB) with custom scaling factors and thresholding logic to extract dominant texture patterns across multiple frequency bands.
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