Skip to content

Commit dbb37e6

Browse files
bryanidembryanidem
committed
Format README file
1 parent 8bc1f3a commit dbb37e6

File tree

2 files changed

+19
-9
lines changed

2 files changed

+19
-9
lines changed

‎ImageProcessingScripts/Contrast Enhancement/README.md

Lines changed: 19 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -1,18 +1,28 @@
1-
# Contrast enhancement image
1+
# Contrast enhancement
22

3-
Using the histogram equalization, we can enhance the contrast in low contrast images. This algorithm uses the cummulative distribution function to map the intensities of a low distribuited histogram into a one more spreaded. Have a look to this [explanation](https://en.wikipedia.org/wiki/Histogram_equalization)
3+
- Using the [histogram equalization](https://en.wikipedia.org/wiki/Histogram_equalization), we can enhance the contrast in low contrast images. This algorithm uses the cummulative distribution function to map the intensities of a low distribuited histogram into a more spreaded one.
44

5-
![output example](example.png)
5+
- Implementation of the histogram equalization algorithm for image contrast enhancement.
6+
- It requires the libraries:
7+
- numpy
8+
- matplotlib
69

7-
## Requirements
10+
## Setup instructions
811

9-
This program only uses the libraries
12+
Install the libraries numpy and matplotlib using the following:
1013

11-
- Numpy
12-
- Matplotlib
14+
> `pip3 install matplotlib`
1315
14-
## Running the code
16+
> `pip3 install numpy`
1517
16-
inside of the `Contrast enhancement` folder run:
18+
Inside of the `Contrast enhancement` folder run:
1719

1820
> `python3 contrast_enhancement.py`
21+
22+
## Output
23+
24+
![output example](images/example.png)
25+
26+
## Author(s)
27+
28+
**Bryan Medina**

‎ImageProcessingScripts/Contrast Enhancement/example.png renamed to ‎ImageProcessingScripts/Contrast Enhancement/images/example.png

File renamed without changes.

0 commit comments

Comments
 (0)