In image processing, the watershed transform is a process of image segmentation and regions boundaries extraction. The theory behind is that the image is represented as a topographic surface where the […]Read: "Watershed Image Segmentation"
The Skin Detection and Segmentation is a process of finding skin-colored image regions from video frames or still pictures. Typically this is a preprocessing step in the image analysis used to find […]Read: "Skin Detection and Segmentation in RGB Images"
The Symmetric Nearest Neighbor Filter or Symmetric NN filter is a non-linear edge preserving image processing filter. It is a very effective noise reduction technique that removes noise while maintaining sharp […]Read: "Symmetric Nearest Neighbor Filter"
The gradient Non-maximum suppression also known as edge thinning is a process of extracting thin, one pixel wide object’s contours. This process follows gradient detection as a post processing step. The outlines thinning is using pre-calculated […]Read: "Gradient Non-Maximum Suppression"
The Sobel filter (also called Sobel-Feldman operator) is an edge detection filter, which results in image emphasizing edges. Computer vision and image processing applications frequently use this filter to extract image gradients and edges. […]Read: "Sobel Filter – Sobel-Feldman Edge Detection and Gradient Extraction"
The Median filter is a nonlinear noise reduction filter that is widely used in image processing. It is very effective in cases of salt and paper noise (impulsive noise) and speckle noise, but […]Read: "Median Filter – Edge Preserving Filter"