https://github.com/abhinav2712/rash-detector
Detection of Rashes using Image Processing in matlab
https://github.com/abhinav2712/rash-detector
image-classification image-processing machine-learning matlab matlab-toolbox ml
Last synced: 11 months ago
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Detection of Rashes using Image Processing in matlab
- Host: GitHub
- URL: https://github.com/abhinav2712/rash-detector
- Owner: abhinav2712
- Created: 2023-04-27T16:54:35.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-04-27T17:00:54.000Z (about 3 years ago)
- Last Synced: 2025-04-12T13:15:49.773Z (about 1 year ago)
- Topics: image-classification, image-processing, machine-learning, matlab, matlab-toolbox, ml
- Language: MATLAB
- Homepage:
- Size: 4.88 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Rash-Detector
This code uses a colour detection technique to detect a rash given in a specific colour range of the image.
## Installation
Clone or download the repository.
Make sure to have MATLAB installed in your system.
## Usage
- Run the script color_detection.m in MATLAB.
- The script reads an image file from a specified path using the imread() function.
- The color range for each channel (red, green, and blue) is defined using the red-Range, green-Range, and blue-Range variables in the code. These ranges determine the minimum and maximum values for each color channel that are considered within the color range.
- To detect the pixels within the specified color range, the code applies a logical AND operator to create a binary mask of the pixels within the color range. - - The logical AND operator is applied to each color channel of the image separately using the "&" operator, and then the results are combined using the "&&" operator.
- Finally, the code displays the original image and the color detection result using the imshow() function and MATLAB's subplot() function.
## Result
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.