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  2. Canny edge detector - Wikipedia

    en.wikipedia.org/wiki/Canny_edge_detector

    An edge in an image may point in a variety of directions, so the Canny algorithm uses four filters to detect horizontal, vertical and diagonal edges in the blurred image. The edge detection operator (such as Roberts, Prewitt, or Sobel) returns a value for the first derivative in the horizontal direction (G x) and the vertical direction (G y ...

  3. Morphological skeleton - Wikipedia

    en.wikipedia.org/wiki/Morphological_skeleton

    A great example of using skeletonization on an image is processing fingerprints. This can be quickly accomplished using bwmorph; a built-in Matlab function which will implement the Skeletonization Morphology technique to the image. The image to the right shows the extent of what skeleton morphology can accomplish.

  4. Digital image processing - Wikipedia

    en.wikipedia.org/wiki/Digital_image_processing

    Digital image processing is the use of a digital computer to process digital images through an algorithm. [ 1 ] [ 2 ] As a subcategory or field of digital signal processing , digital image processing has many advantages over analog image processing .

  5. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    Feature enhancement in an image (St Paul's Cathedral, London) using Phase Stretch Transform (PST). Left panel shows the original image and the right panel shows the detected features using PST. The phase stretch transform or PST is a physics-inspired computational approach to signal and image processing. One of its utilities is for feature ...

  6. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    Indexing consists of storing SIFT keys and identifying matching keys from the new image. Lowe used a modification of the k-d tree algorithm called the best-bin-first search method [ 14 ] that can identify the nearest neighbors with high probability using only a limited amount of computation.

  7. Top-hat transform - Wikipedia

    en.wikipedia.org/wiki/Top-hat_transform

    In mathematical morphology and digital image processing, a top-hat transform is an operation that extracts small elements and details from given images.There exist two types of top-hat transform: the white top-hat transform is defined as the difference between the input image and its opening by some structuring element, while the black top-hat transform is defined dually as the difference ...

  8. Pruning (morphology) - Wikipedia

    en.wikipedia.org/wiki/Pruning_(morphology)

    The pruning algorithm is a technique used in digital image processing based on mathematical morphology. [1] It is used as a complement to the skeleton and thinning algorithms to remove unwanted parasitic components (spurs). In this case 'parasitic' components refer to branches of a line which are not key to the overall shape of the line and ...

  9. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.