When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. 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.

  3. 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 ...

  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. Digital image correlation and tracking - Wikipedia

    en.wikipedia.org/wiki/Digital_image_correlation...

    Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements of changes in images. This method is often used to measure full-field displacement and strains , and it is widely applied in many areas of science and engineering.

  6. 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.

  7. Watershed (image processing) - Wikipedia

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

    A function W is a watershed of a function F if and only if W ≤ F and W preserves the contrast between the regional minima of F; where the contrast between two regional minima M 1 and M 2 is defined as the minimal altitude to which one must climb in order to go from M 1 to M 2. [7] An efficient algorithm is detailed in the paper. [8] Watershed ...

  8. 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 ...

  9. Multiresolution analysis - Wikipedia

    en.wikipedia.org/wiki/Multiresolution_analysis

    For instance, a high-resolution panchromatic image can be fused with a low-resolution multispectral image, producing a single output with enhanced spatial and spectral resolution. Techniques like the "à trous" wavelet algorithm and Laplacian pyramids preserve spatial connectivity and minimize artifacts.