Tag: Image Processing

Posts Collection

• 

  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…

  Learn more: Watershed Image Segmentation: Marker Controlled 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…

  Learn more: Skin Detection and Segmentation in RGB Images

  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…

  Learn more: Symmetric Nearest Neighbor Filter

  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…

  Learn more: Gradient Non-Maximum Suppression

  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…

  Learn more: Sobel-Feldman filter: Edge Detection and Gradient Extraction

  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…

  Learn more: Median Filter: A Guide to Edge Preserving Blur

  In: Image Processing