prmohanty / Scikit-image-processing

Image processing examples with Numpy, Scipy, and Scikit-image

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Image processing examples with Numpy, Scipy, and Scikit-image

Requirements

• Python 3.x
• NumPy (pip install numpy)
• SciPy (pip install scipy)
• MatplotLib (pip install matplotlib)
• Scikit-image (pip install scikit-image)

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Simple NumPy array based operations

• Demo of NumPy based image manipulation
  

• Block view function and pooling/sampling
  

• Zooming (interpolation) based on SciPy

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Exposure and color channel manipulations

• RGB to gray conversion
  

• RGB to HSV (Hue-Saturation-Value) conversion
  

• Adapting gray-scale filters to RGB images using special decorator

• Adjusting contrast by filtering regional maxima
  

• Local Histogram equalization
  

• Gamma and log contrast

• Tinting grayscale images
  

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Edges, lines, and contours

• Finding contours
  

• Convex Hull of an image
  

• Skeletonize 2-D and 3-D images