Tag: Image Processing

Algorithms for image processing and computer graphics. Various tutorials and articles related to image analysis, graphics, photo filtering, photo effects and more.

Watershed Image Segmentation: Marker Controlled Flooding

The watershed transform is a computer vision algorithm that serves for image segmentation. This method can extract image objects and separate foreground from background. This tutorial shows how can implement Watershed transformation via Meyer’s flooding…

In: Image Processing
Skin Detection and Segmentation in RGB Images

The Skin Detection and Segmentation is a process of finding skin-colored image regions from video frames or still pictures. Typically this is a pre-processing step in the digital image analysis to find significant regions such…

In: Image Processing
Symmetric Nearest Neighbor Filter

The Symmetric Nearest Neighbor Filter (SNN) is a non-linear edge preserving image processing filter. It is a very effective noise reduction technique that removes noise while maintaining sharp image edges. This graphic filter produce results…

In: Image Processing
Gradient Non-Maximum Suppression

Gradient non-maximum suppression is an edge thinning algorithm that extracts thin contours of objects in an image. The output of this image processing algorithm is contour curves that are one pixel wide. Non-maximal suppression is…

In: Image Processing
Sobel-Feldman filter: Edge Detection and Gradient Extraction

The Sobel filter (also called Sobel-Feldman operator) is an edge detection algorithm, that results in image emphasizing edges. Computer vision apps often use this image processing technique to extract the objects contours.

In: Image Processing
Median Filter: A Guide to Edge Preserving Blur

The Median filter is a nonlinear noise reduction technique that is widely used in image processing. It is very effective in cases of salt and paper noise (impulsive noise) and speckle noise. However, in cases…

In: Image Processing