filterIt

Image processing algorithms implemented from scratch in Java, with in-built concurrency support ✔️

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Help me in improving it :)

usage

This Java library can be used for image processing ops, it has a lot of algorithms implemented with built-in concurrency support ( using Java thread pool ). Consider using it in your next project.

Check API documentation, made with javadoc, here.

Usage example can be found here.

download

Get precompiled jar here.

implementation(s)

Following list denotes algorithms implemented in filterIt.

Spatial Filters ( Concurrency incorporated )

• Mean Filter
• Median Filter
• Mode Filter
• Min Filter

Edge Detection Filters ( Concurrency incorporated )

• Sobel Filter
• Prewitt Filter
• Laplacian Filter
• using Dilation
• using Erosion

Gray Scaling

• Gray Scaling

Pixel Transformation ( Concurrency incorporated )

• Inverse Transformation
• Gamma Correction
• Log Transformation
• Inverse Log Transformation
• Histogram Equalization
• Contrast Stretching

Image Transposition

• Transposed Image

Rotation ( Concurrency incorporated )

• Basic Rotation
  • Horizontal Rotation
  • Vertical Rotation
• Compound Rotation
  • Clockwise Rotation
  • Anti-Clockwise Rotation

Arithmetic Operator(s) ( Concurrency incorporated )

• Addition
• Subtraction
• Multiplication
• Division

Bitwise Operator(s) ( Concurrency incorporated )

• Bitwise OR
• Bitwise AND
• Bitwise XOR
• Bitwise Right Shift
• Bitwise Left Shift

Affine Transformation ( Concurrency incorporated )

• Translation
• Rotation
• Scaling

Segmentation

• Automatic Thresholding
• Region Growing

Morphological Ops

• Dilation
• Erosion

Image Smoothing

• Opening
• Closing

API documentation

Check here

contribution

If you want to help me in improving this package, you're very much welcome. First fork this repo & then clone it into your machine. Now you can start working on it by creating a new branch. Finally, submit a PR 😉

What I'm currently interested in is, improving concurrency in filters. You might consider helping me there.

Thanking you ...