All Stories

  1. A vision from a physical point of view and the information theory on the image segmentation
  2. Behavior Study of Entropy In a Digital Image Through An Iterative Algorithm of the Mean Shift Filtering
  3. Edge Detection in Segmented Images Through Mean Shift Iterative Gradient ZnNusing Ring
  4. New similarity index for images based on entropy and group theory
  5. Application of the Ring Theory in the Segmentation of Digital Images
  6. Stopping Criterion for the Mean Shift Iterative Algorithm
  7. Image Segmentation Through an Iterative Algorithm of the Mean Shift
  8. Segmentation Methods for Biomedical Images
  9. Convergence of the Mean Shift Using the Infinity Norm in Image Segmentation
  10. A Segmentation Algorithm Based on an Iterative Computation of the Mean Shift Filtering
  11. Binarization of medical images based on the recursive application of mean shift filtering: Another algorithm
  12. A strategy for blood vessels segmentation based on the threshold which combines statistical and scale space filter
  13. An Image Segmentation Algorithm Using Iteratively the Mean Shift
  14. A new strategy to obtain robust markers for blood vessels segmentation by using the watersheds method
  15. Robust Markers for Blood Vessels Segmentation: A New Algorithm
  16. A Strategy for Atherosclerosis Image Segmentation by Using Robust Markers