Image Processing

‘Recent Articles’ on Image Processing

Image Processing | Java :

  1. Image Processing in Java | Set 1 (Read and Write)
  2. Image Processing In Java | Set 2 (Get and set Pixels)
  3. Image Processing in Java | Set 3 (Colored image to greyscale image conversion)
  4. Image Processing in Java | Set 4 (Colored image to Negative image conversion)
  5. Image Processing in Java | Set 5 (Colored to Red Green Blue Image Conversion)
  6. Image Procesing in Java | Set 6 (Colored image to Sepia image conversion)
  7. Image Processing in Java | Set 7 (Creating a random pixel image)
  8. Image Processing in Java | Set 8 (Creating mirror image)
  9. Image Processing in Java | Set 9 ( Face Detection )
  10. Image Processing in Java | Set 10 ( Watermarking an image )
  11. Image Processing in Java | Set 11 (Changing orientation of image)

OpenCV | Python :

  1. Working with Images in Python
  2. Erosion and Dilation of images using OpenCV in python
  3. Python Program to detect the edges of an image using OpenCV | Sobel edge detection method
  4. Real-Time Edge Detection using OpenCV in Python | Canny edge detection method
  5. Line detection in python with OpenCV | Houghline method
  6. Template matching using OpenCV in Python
  7. OpenCV Python Program to blur an image
  8. Cartooning an Image using OpenCV – Python
  9. OpenCV Python Program for face detection

OpenCV | C++ :

  1. Gaussian Filter Generation in C++
  2. OpenCV C++ Program to create a single colored blank image
  3. OpenCV C++ Program to blur an image
  4. OpenCV C++ Program for coin detection

OpenGL | MATLAB :

  1. Scan-line Polygon filling using OPENGL in C
  2. Extract bit planes from an Image in Matlab

Project Ideas :

  1. Project Idea | (Model based Image Compression of Medical Images)
  2. Project Idea | ( Character Recognition from Image )
  3. Project Idea | (Optimization of Object-Based Image Analysis with Super-Pixel for Land Cover Mapping)
  4. Project Idea | (Robust Pedestrian detection)
  5. Project Idea | Motion detection using Background Subtraction Techniques

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  • Last Updated : 30 Jul, 2017

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