
# The `PIL` library

In [Python](https://www.educative.io/answers/what-is-python), **`PIL`** (Pillow) or Python Imaging Library is an image processing library. This library supports a wide range of file formats. It is designed for an efficient internal representation of image data. Moreover, it provides powerful image processing capabilities.


# The `ImageFilter` module

The `ImageFilter` module in `PIL` contains definitions for a pre-defined set of filters used for different purposes.

# The `RankFilter` class

The `RankFilter` class is used to create a rank filter. A rank filter is a type of filter that sorts all pixels in a window of the given size and returns the given rank's value.

# Syntax


```
PIL.ImageFilter.RankFilter(size, rank)
```

# Parameter

- `size`:  This is the kernel size.
- `rank`: This is the pixel to return. With different values for `rank`, we get different filters. For example, with rank as `0` we get a min filter. Similarly, with rank as `size * size / 2`, we get a median filter, and so on.

# Example

from PIL import Image, ImageFilter

img = Image.open("man.png")

size = 3
rank = size * size - 1

new_img = img.filter(ImageFilter.RankFilter(size = size, rank = rank))

new_img.save("new_man.png")

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

import React from 'react';
import { shallow, configure } from 'enzyme';
import Adapter from 'enzyme-adapter-react-16';

configure({ adapter: new Adapter() });

import HelloWorld from './app';

var TestResult = function() {
    this.succeeded = false;
    this.reason = "";
    this.input = "";
    this.expected_output = "";
    this.actual_output = "";
}

export const executeTests = function() {

  var results = [];

  result = new TestResult();
  result.input = 'HelloWorld Component';
  result.expected_output = "span containing text 'Hello World'"

  let wrapper = shallow(<HelloWorld />);

  // Call your Challenge function here.

  let type = wrapper.type();
  let testSuccessful = true;
  let failureReason;

  if (type !== 'span') {
    testSuccessful = false;
    failureReason = "You need to render exactly one span HTML element";
  } else if (wrapper.props().children != "Hello World") {
     testSuccessful = false;
     failureReason = "You have rendered wrong message in your span element";
  }

  result.actual_output = wrapper.html();

  if (testSuccessful) {
    result.succeeded = true;
    result.reason = "Succeeded"
  } else {
    result.succeeded = false;
    result.reason = failureReason;
  }

  results.push(result);

  return results;
}


react_context

React

Dart

GoJS React

Typescript React

Vue.js

# 
## Explanation

- Line 1: We import the `ImageFilter` and `Image` modules.
- Line 3: We use `open()` in `Image` to read module `man.png` into memory .
- Line 5: We define the size of the kernel, `size`.
- Line 6: We define the rank of the pixel to be chosen, `rank`.
- Line 8: We apply `RankFilter` on the image loaded in Line 3.
- Line 10: We save the new image to disk.

temp.tar.gz

How to retain the kth rank pixel of an image in Python

Use PIL's RankFilter for selecting a specific rank pixel in an image by specifying kernel size and rank.

How to retain the kth rank pixel of an image in Python

The PIL library

The ImageFilter module

The RankFilter class

Syntax

Parameter

Example

Explanation

The `PIL` library

The `ImageFilter` module

The `RankFilter` class