Hands on Morphological Image Processing, Figures

Python script to generate most of the figures of the book. For MATLAB script see: handson

Chapter 1 - Binary Erosion and Dilation

Chapter 3 - Morphological Processing of Binary Images

Chapter 5 - Gray-Scale Morphology

  • Fig 5.18 Gray-scale erosion by a flat disk
  • Fig 5.20 Flat dilation versus threshold decomposition
  • Fig 5.29 Opening by a flat disk
  • hofig5s30 Radial opening
  • hofig5s34 Closing by a flat disk

Chapter 6 - Morphological Processing of Gray-Scale Images

  • Fig 6.2 Morphological gradients
  • Fig 6.4 Gray-scale top-hat
  • Fig 6.5 Open top-hat to compensate uneven illumination
  • Fig 6.6 Detecting cells of a FISH image using open top-hat
  • Fig 6.8 Gray-scale alternating sequential filtering
  • Fig 6.10 Gray-scale morphological reconstruction
  • Fig 6.12 Gray-scale morphological reconstruction, marker at predefined location
  • Fig 6.13 Gray-scale morphological reconstruction by means of threshold decomposition
  • Fig 6.14 Gray-scale filling holes
  • Fig 6.15 Flat zones
  • Fig 6.16 Connected filter versus nonconnected filter
  • Fig 6.17 Reconstructive radial opening
  • hofig6s18 Disjunctive and conjunctive reconstructive opening
  • hofig6s20 Connected pyramid
  • Fig 6.21 Connected flat alternating sequential filtering
  • hofig6s24 Regional maxima
  • Fig 6.26 Regional maxima of synthetic noise image
  • Fig 6.29 Airport runway detection

Chapter 7 - Morphological Processing of Gray-Scale Images

  • Fig 7.1 Segmentation by thresholded-gradient (para fazer)
  • Fig 7.2 Segmentation by watershed
  • Fig 7.4 Watershed oversegmentation
  • Fig 7.6 Watershed as a flooding process
  • Fig 7.8 Watershed segmentation
  • Fig 7.9 Voronoi diagram as the watershed of the distance transform
  • Fig 7.10 Geodesic SKIZ
  • Fig 7.11 Segmentation of overlapped convex cells
  • Fig 7.12 Segmentation of overlapped blood cells
  • Fig 7.13 Segmentation of keys using watershed transform with inner and outer markers
  • Fig 7.14 Segmentation of cornea cells from a noise image
  • Fig 7.17 Multiscale watershed
  • Fig 7.18 Dynamics versus number of most relevant regions
  • Fig 7.19 Image simplification
  • Fig 7.20 Watershed lines on a plateau
  • Fig 7.26 Silver-halide T-grain crystals analysis