enow.com Web Search

  1. Ad

    related to: level threshold detail

Search results

  1. Results from the WOW.Com Content Network
  2. Level of detail (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Level_of_detail_(computer...

    The structure can then be probed to smoothly choose the appropriate level of detail required for the situation. A significant advantage of this technique is the ability to locally vary the detail; for instance, the side of a large object nearer to the view may be presented in high detail, while simultaneously reducing the detail on its distant ...

  3. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    An example image thresholded using Otsu's algorithm Original image. In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. [1]

  4. Sensory threshold - Wikipedia

    en.wikipedia.org/wiki/Sensory_threshold

    Several different sensory thresholds have been defined; [2] Absolute threshold: the lowest level at which a stimulus can be detected. Recognition threshold: the level at which a stimulus can not only be detected but also recognized. Differential threshold: the level at which an increase in a detected stimulus can be perceived.

  5. 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 ...

  6. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    Koenderink [66] proposed to study how iso-intensity contours evolve over scales and this approach was investigated in more detail by Lifshitz and Pizer. [67] Unfortunately, however, the intensity of image features changes over scales, which implies that it is hard to trace coarse-scale image features to finer scales using iso-intensity information.

  7. Discrete wavelet transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_wavelet_transform

    Following the decomposition of the image file, the next step is to determine threshold values for each level from 1 to N. Birgé-Massart strategy [23] is a fairly common method for selecting these thresholds. Using this process individual thresholds are made for N = 10 levels.

  8. Balanced histogram thresholding - Wikipedia

    en.wikipedia.org/.../Balanced_histogram_thresholding

    The BHT method tries to find the optimum threshold level that divides the histogram in two classes. Original image. Thresholded image. Evolution of the method. This method weighs the histogram, checks which of the two sides is heavier, and removes weight from the heavier side until it becomes the lighter.

  9. Pure-tone audiometry - Wikipedia

    en.wikipedia.org/wiki/Pure-tone_audiometry

    This prevents the non-test ear from detecting the test signal presented to the test ear. The threshold of the test ear is measured at the same time as presenting the masking noise to the non-test ear. Thus, thresholds obtained when masking has been applied, provide an accurate representation of the true hearing threshold level of the test ear. [13]

  1. Ad

    related to: level threshold detail