Table 5.
Summarization of local pattern features focusing on bioimage informatics studies.
Number | Name of local pattern features | Brief description | Types |
---|---|---|---|
1 | Local binary pattern (LBP) | A pioneer of local structural model quantization and the concatenate histogram statistics. | Type 1: focus on the gradient changes of the center pixel in specified directions. |
2 | Local ternary pattern (LTP) | Using a ternary arithmetic coding given a threshold based on LBP. | |
3 | Local quinary pattern (LQP) | Two thresholds enhancement based on LTP. | |
4 | Completed local binary pattern (CLBP) | Enhance by taking magnitude and center pixel level information into account based on Type 1. | |
5 | Local ternary cooccurrence pattern (LTCoP) | Encodes the cooccurrence of similar ternary edges calculated between the center pixel and its neighbors based on LTP; belongs to rotational invariant feature. | |
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6 | Local derivative pattern (LDP) | High-order local pattern descriptor and encodes directional pattern features based on local derivative variations; belongs to a specific direction rotational variant feature. | Type 2: focus on transformation consistency statistics of directional derivative in specified directions between the center pixel and its neighbors. |
7 | Local tetra pattern (LTrP) | Encodes the relationship of transformation consistency between the center pixel and its neighbors based on vertical and horizontal directions. |
Italic type denotes the local pattern features investigated in this study.