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  1. Median-type Otsu threshold segmentation based on energy curve
  2. Multi-threshold segmentation with exponential entropy based on co-occurrence matrix and intelligent optimization algorithm
  3. Local feature-based sparse LDA feature selection algorithm for image data
  4. Minimum Cumulative Residual Information Energy Thresholding on Circular Histogram
  5. Maximum Entropy Multi-threshold Recursive Algorithm for Circular Histograms Based on Dynamic Programming
  6. Robust Principal Component Analysis Based on Globally-convergent Iteratively Reweighted Least Squares
  7. A New Cutset-type Kernelled Possibilistic C-means Clustering Segmentation Algorithm Based on SLIC Super-pixels
  8. Threshold Selection on Circular Histogram Using Renyi Entropy
  9. Magnify images clearly with technology