https://github.com/tirthajyoti/scikit-image-processing

Image processing examples with Numpy, Scipy, and Scikit-image
https://github.com/tirthajyoti/scikit-image-processing

color computer-vision image-analysis image-processing image-segmentation machine-learning matplotlib matplotlib-pyplot numpy object-detection python scikit-image scipy segmentation

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

• Host: GitHub
• URL: https://github.com/tirthajyoti/scikit-image-processing
• Owner: tirthajyoti
• License: mit
• Created: 2019-06-03T06:56:11.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-06-29T07:15:33.000Z (over 5 years ago)
• Last Synced: 2024-11-02T03:50:31.561Z (about 2 months ago)
• Topics: color, computer-vision, image-analysis, image-processing, image-segmentation, machine-learning, matplotlib, matplotlib-pyplot, numpy, object-detection, python, scikit-image, scipy, segmentation
• Language: Jupyter Notebook
• Homepage:
• Size: 14.4 MB
• Stars: 35
• Watchers: 3
• Forks: 26
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
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---

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

### Requirements

* **Python 3.4+**

* **NumPy (`$ pip install numpy`)**

* **SciPy (`$ pip install scipy`)**

* **MatplotLib (`$ pip install matplotlib`)**

* **Scikit-image (`$ pip install scikit-image`)**

---

### Testing after install

Open a Jupyter notebook and execute the following code,

```

import numpy as np

import matplotlib.pyplot as plt

from skimage import data, io, filters

image = data.coins()  # or any NumPy array!

edges = filters.sobel(image)

io.imshow(edges)

```

You should see the following output. If you see this, you are all set to go!

![sobel_coins](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/sobel_coins.PNG)

---

### Simple NumPy array based operations

* [Demo of NumPy based image manipulation](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Using_Numpy_image_manipulation.ipynb)




* [Block view function and pooling/sampling](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Block_view_mean_max_median_sampling.ipynb)




* [Zooming (interpolation) based on SciPy](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Scipy_zooming.ipynb)

---

### Exposure and color channel manipulations

* [RGB to gray conversion](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/RGB2Gray.ipynb)




* [RGB to HSV (Hue-Saturation-Value) conversion](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/RGB_to_HSV.ipynb)




* [Adapting gray-scale filters to RGB images using special decorator](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Adapt_RGB_decorator.ipynb)

* [Adjusting contrast by filtering regional maxima](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Filtering_regional_maxima.ipynb)




* [Local Histogram equalization](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Local_Histogram_Equalization.ipynb)




* [Gamma and log contrast](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Gamma_log_contrast_adjustment.ipynb)

* [Tinting grayscale images](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Tint_Grayscale.ipynb)




---

### Edges, lines, and contours

* [Finding contours](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Finding_contours.ipynb)




* [Convex Hull of an image](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Convex_Hull.ipynb)




* [Skeletonize 2-D and 3-D images](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Skeletonize.ipynb)




* [Marching cubes](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Marching_cubes.ipynb)




* [Edge operators](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Edge_operators.ipynb)




---

### Geometrical transformations and registration

* [Swirl](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Swirl.ipynb)




* [Interpolation - edge modes](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Interpolation%20-%20Edge%20modes.ipynb)




* [Rescale, resize, downscale](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Rescale_resize_downscale.ipynb)

* [Histogram matching](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Histogram_matching.ipynb)




* [Structural similarity index](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Structural_similarity_index.ipynb)

### Filtering and restoration

[Hysteresis thresholding](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Hysteresis_thresholding.ipynb)




[Image deconvolution](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Image_deconvolution.ipynb)

[Unsharp mask](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Unsharp_mask.ipynb)