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Description:

The Image Processing Techniques App is a versatile Python application designed to empower users with the ability to apply a diverse set of filters to images effortlessly. With an intuitive graphical user interface (GUI), users can load images and transform them using a variety of image processing filters. These filters cater to different image enhancement and analysis needs, allowing users to explore creative and practical applications.

Filters:

  1. Grayscale Conversion:

    • Converts a color image to grayscale, simplifying the representation to intensity values.

  2. Point Detection:

    • Enhances the image by emphasizing key points using a specific convolution kernel.

  3. Horizontal Line Detection:

    • Identifies horizontal edges and lines within the image, revealing structural patterns.

  4. Vertical Line Detection:

    • Similar to horizontal detection but focuses on vertical edges and lines.

  5. +45° Line Detection:

    • Detects edges and lines oriented at a positive 45-degree angle.

  6. -45° Line Detection:

    • Detects edges and lines oriented at a negative 45-degree angle.

  7. Laplacian of Gaussian (LoG):

    • Applies a convolution filter combining Gaussian blurring and Laplacian sharpening.

  8. Zero Crossing Detection:

    • Identifies points where the intensity changes sign, useful for edge detection.

  9. User-Defined Filter:

    • Allows users to create custom convolution filters by specifying size and coefficients.

  10. Adaptive Thresholding:

    • Segments the image by dynamically adjusting the threshold based on local image characteristics.

  11. +45° Edge Detection:

    • Detects edges oriented at a positive 45-degree angle.

  12. -45° Edge Detection:

    • Detects edges oriented at a negative 45-degree angle.

  13. Horizontal Edge Detection:

    • Identifies edges in the horizontal direction.

  14. Vertical Edge Detection:

    • Identifies edges in the vertical direction. 15- Prewitt Horizontal Edge Detection:

16- The Prewitt Horizontal Edge Detection filter : is a powerful tool designed to identify horizontal edges and structures within an image.

17- Prewitt Vertical Edge Detection: The Prewitt Vertical Edge Detection filter is tailored for revealing vertical edges and structures within an image. Utilizing a convolution kernel that accentuates changes in intensity along the vertical direction.

18- Prewitt Diagonal -45° Edge Detection: The Prewitt Diagonal -45° Edge Detection filter specializes in identifying edges and structures oriented at a negative 45-degree angle. By applying a specific convolution kernel.

19- Prewitt Diagonal +45° Edge Detection: The Prewitt Diagonal +45° Edge Detection filter excels in detecting edges and structures oriented at a positive 45-degree angle.

Usage:

  • Open an image.
  • Choose a filter from the available options.
  • Adjust filter-specific parameters (if applicable).
  • Observe the real-time preview of the filtered image.
  • Save the transformed image for further use.

Benefits:

  • Streamlined GUI for easy navigation.
  • Interactive parameter input for certain filters.
  • Versatility in image processing applications.
  • Enables users to experiment with various filters for creative and analytical purposes.

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