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This model combines the improved Pixel-Pattern-Based Texture Feature (PPBTF) and LBP texture feature.
First, texture feature was extracted using discrete wavelet transform.
The block-based texture feature which use the LBP texture feature as the source of image description is proposed in [29] for CBIR.
71 intensity and texture feature set is extracted from these SROIs.
However, MR imaging texture feature analysis was not applied in medication-overuse headache (MOH) so far.
The following mapping is further employed for obtaining final 2-D texture feature number images.
The texture feature is calculated based on DWHT to identify the direction of the balloon.
In addition, wavelet analysis is an excellent tool to obtain rotation invariant texture feature.
Currently, there is only limited literature on blur-invariant texture feature extraction.
The LBP [11] is a hybrid texture feature widely used in image processing.
The texture feature of SAR image can be derived by using the GCM method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com