This program performs segmentation and analyses on DNA electron microscopy images by detecting and fitting a NURBS (Non-Uniform Rational B-Spline) curve through captured DNA strands. It utilizes OpenCV, numpy, scipy, Pillow, Tkinter, and other custom modules.
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Clone the repository or download the program files.
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Make sure you have Python 3.x installed on your system.
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Install the required dependencies by running the following command:
pip install opencv-python numpy scipy -
Place the input image file in the same directory as the program files.
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Open the program file
dna_segmentation.pyin a text editor. -
Modify the program code to specify the input image file path, color range, contour selection criteria, and other parameters as needed.
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Save the changes.
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Run the program by executing the following command in the terminal or command prompt:
python dna_segmentation.py -
The program will display the segmented DNA image with the fitted Bézier curve.
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Close the image window to exit the program.
You can customize the program behavior by modifying the following parameters in the code:
- Image path: Specify the path to your input image file.
- Color range: Adjust the lower and upper bounds of the green color range to match your requirements.
- Contour selection: Set the minimum contour area and aspect ratio thresholds to filter out unwanted contours.
- Bezier curve: Modify the number of points on the fitted curve by changing the 'np.linspace' parameters.
- OpenCV: Library for computer vision tasks. Install using
pip install opencv-python. - numpy: Library for numerical computations. Install using
pip install numpy. - scipy: Library for scientific computing. Install using
pip install scipy.
This program is released under the MIT License. See the LICENSE file for details.
Madison Ell
UCLA