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.