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Image Processing Algorithms Application

Python 100.00%
filtering image-processing noise-algorithms pyqt5 pyqt6 python transformation morphological

image-processing-algorithmic-tools's Introduction

Image Processing Algorithmic Tools

An application that illustrates the image with extension BMP, DICOM, JPEG, PNG, etc. and compute image processing tools and algorithms on it.

Description

  • User can open any image with [.bmp, .dicom, .jpeg, .png] extension.
  • User can make different transformations like:
    • zooming the image with [Bilinear, Nearest-neighbor] interpolations.
    • Rotating the images with [Bilinear, Nearest-neighbor] interpolations.
    • Shearing the images vertically or horizontally.
  • User can generate:
    • T shape, Square, Rectangle, Triangle etc..
  • User can draw histogram for image and equalize it.
  • User can apply:
    • High Pass Filters (HPF)
    • Low Pass Filters (LPF)
      • Percentiles Filters (Median filter, Max Filter, Min filter, etc.)
    • Band Pass Filters (BBF)
    • Band Reject Filters (BRF)
    • Notch Reject Filters (BRF)

Dependencies

  • python 3.10

Used packages: pillow pydicom matplotlib numpy opencv-python

to install: pip install [python-library] Or pip install -r requirements.txt

Preview

image image image


References

https://shrishailsgajbhar.github.io/post/Image-Processing-Image-Rotation-Without-Library-Functions https://towardsdatascience.com/introduction-to-image-processing-with-python-dilation-and-erosion-for-beginners-d3a0f29ad72b https://python.plainenglish.io/image-erosion-explained-in-depth-using-numpy-320c01b674a8 https://towardsdatascience.com/image-processing-image-scaling-algorithms-ae29aaa6b36c https://meghal-darji.medium.com/implementing-bilinear-interpolation-for-image-resizing-357cbb2c2722 https://www.geeksforgeeks.org/python-opencv-bicubic-interpolation-for-resizing-image/ https://medium.com/@ami25480/morphological-image-processing-operations-dilation-erosion-opening-and-closing-with-and-without-c95475468fca https://www.imageprocessingplace.com/root_files_V3/image_databases.htm http://matematicas.uam.es/~fernando.chamizo/dark/d_periodic.html

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