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JSharp

Technologies

Csharp dotnet wpf xunit


Overview

This project is a comprehensive image processing application designed to perform a wide range of operations on digital images. It provides a user-friendly interface for opening, manipulating, and analyzing images using various techniques and algorithms. The application is built using C# and WPF, leveraging the MVVM (Model-View-ViewModel) design pattern for clean separation of concerns and maintainability.

User Interface

ui

Features

Image Handling

  • Load and Display Images:
    • Load and display grayscale images.
    • Load and display color images.
  • Save Images: Save processed images to disk.
  • Duplicate Images: Create duplicates of loaded images.
  • Copy Image: Copy image to clipboard.

Image Conversion

  • Convert Color to Grayscale: Convert color images to grayscale.
  • Convert RGB to Other Color Spaces:
    • Convert RGB to HSV and separate into channels.
    • Convert RGB to LAB and separate into channels.
  • Channel Separation: Separate RGB images into individual channels.

Image Processing

  • Basic Operations:
    • Negation
    • Grayscale level reduction (posterization)
  • Histogram-based Operations:
    • Histogram stretching.
    • Histogram equalization.
  • Filtering:
    • Convolution:
      • Using predefined masks.
      • Using interactively provided masks.
    • Median filtering
  • Unary and Binary Operations:
    • Addition
    • Subtraction
    • Blending
    • Logical operations: AND, OR, NOT, XOR
  • Thresholding: Segment images using thresholding.
  • Morphological Operations:
    • Basic:
      • Dilation
      • Erosion
      • Morphological opening
      • Morphological closing
    • Advanced:
      • Skeletonization: Reduce the image to its skeletal form.
  • Edge Detection: Edge detection using the Hough Transform.
  • Image Pyramids: Image resizing using pyramids (upscaling and downscaling).
  • Image Transformation:
    • Rotate image by 90 degrees clockwise.
    • Flip image by 180 degrees.
  • Compression:
    • RLE Compression

Advanced Image Processing

  • Watershed: Perform segmentation with Watershed.
  • Inpainting: Restore parts of images using inpainting.
  • GrabCut: Extract foreground from selected part of image.

Analyze

  • Display Histogram:
    • Graphically display the image histogram with real-time updates.
    • Display histogram data in tabular representation.
  • Profile Line: Generate and display a profile line of the image.
  • Simple Analysis: Perform simple image analysis.
  • Detailed Analysis: Perform detailed image analysis.

Getting Started

Option 1: Cloning the Repository (recommended for Developers)

If you want to contribute to the project or explore the source code, follow these steps:

  1. Clone the repository

    git clone https://github.com/lukegor/JSharp.git

  2. Navigate to the project directory

    cd JSharp

  3. Open the solution file in Visual Studio

    • Open the JSharp.sln file located in the root directory of the project with Visual Studio.

  4. Run the application

    • Press F5 or select Debug > Start Debugging.

Option 2: Downloading the Release (recommended for End Users)

If you just want to use the application without modifying the source code, follow these steps:

  1. Download the latest release

    • Go to the Releases page.
    • Download the executable (.exe) and the program database file (.pdb) for debugging.

  2. Run the application

    • Navigate to the folder where you downloaded the files.
    • Double-click the executable file (.exe) to run the application.

Prerequisites

Make sure you have the following installed:

  • For developers:

  • For end users:

    • No specific prerequisites (as the application package should include everything needed to run).

Additional Resources

  • Issues: Report any issues or feature requests on the Issues page.

License

This project is licensed under the Apache License 2.0. See the LICENSE file for more details.