Image Processing

‘Recent Articles’ on Image Processing

• Image Processing | Java
• OpenCV | C++
• OpenGL | MATLAB
• Project Ideas

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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