Table 1.
Summary of methods.
| Algorithm | Description | Free parameters |
|---|---|---|
| Band-pass filtering (BPF) | Object intensity enhancement with bandpass FIR filtering | 4 |
| Feature point detection (FPD) [9] | Percentile detection with non-particle discrimination | 3 |
| h-dome detection (HD) [16] | h-dome morphological filtering | 5 |
| Kernel methods (KDE) [21] | Kernel density estimation with a family of kernels | 3 |
| Local comparison (LC) | Maximization between direction-specific image convolutions | 2 |
| Locally enhancing filtering (LEF) | Local signal enhancement and background suppression | 1 |
| Morphometry (MGI) [23] | Morphometry with granulometric analysis | 0 |
| Multiscale wavelets (MW) [26] | Multiscale product of wavelet coefficients | 2 |
| Source Extractor (SE) [27] | Convolution applied for background clipped image | 4 |
| Sub-pixel localization (SPL) [10] | Fitting of Gaussian kernels to local intensity maxima | 1 |
| Top-hat filtering (THE) [29] | Top-hat filtering and entropy-based thresholding | 1 |
Summary of methods, with method abbreviation used in this study and short description of main principle. The number of free parameters refers to the parameters that were tuned when optimizing the methods for the image sets.