enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    One limitation of the Otsu’s method is that it cannot segment weak objects as the method searches for a single threshold to separate an image into two classes, namely, foreground and background, in one shot. Because the Otsu’s method looks to segment an image with one threshold, it tends to bias toward the class with the large variance. [14]

  3. Balanced histogram thresholding - Wikipedia

    en.wikipedia.org/.../Balanced_histogram_thresholding

    Like Otsu's Method [2] and the Iterative Selection Thresholding Method, [3] this is a histogram based thresholding method. This approach assumes that the image is divided in two main classes: The background and the foreground. The BHT method tries to find the optimum threshold level that divides the histogram in two classes. Original image ...

  4. Thresholding (image processing) - Wikipedia

    en.wikipedia.org/wiki/Thresholding_(image...

    The simplest thresholding methods replace each pixel in an image with a black pixel if the image intensity , is less than a fixed value called the threshold , or a white pixel if the pixel intensity is greater than that threshold. In the example image on the right, this results in the dark tree becoming completely black, and the bright snow ...

  5. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to ...

  6. Image-based meshing - Wikipedia

    en.wikipedia.org/wiki/Image-based_meshing

    Image-based meshing is the automated process of creating ... Segmentation tools (e.g. thresholding, ... a free 3D surface and volumetric mesh generator for matlab ...

  7. Template matching - Wikipedia

    en.wikipedia.org/wiki/Template_matching

    Template matching [1] is a technique in digital image processing for finding small parts of an image which match a template image. It can be used for quality control in manufacturing, [ 2 ] navigation of mobile robots , [ 3 ] or edge detection in images.

  8. Statistical region merging - Wikipedia

    en.wikipedia.org/wiki/Statistical_Region_Merging

    Note the result on SRM varies, based on the order in which the values are evaluated by the algorithm. A major use of SRM is in image processing where higher number color palettes in an image are converted into lower number palettes by merging the similar colors' palettes together. The merging criteria include allowed color ranges, minimum size ...

  9. 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 ).