When.com Web Search

Search results

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

  3. 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]

  4. Canny edge detector - Wikipedia

    en.wikipedia.org/wiki/Canny_edge_detector

    Among the edge detection methods developed so far, Canny edge detection algorithm is one of the most strictly defined methods that provides good and reliable detection. Owing to its optimality to meet with the three criteria for edge detection and the simplicity of process for implementation, it became one of the most popular algorithms for ...

  5. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    Reconstructive methods use horizontal gradients or vertical gradients to build a curve and find the peak of the curve as the sub-pixel edge. Partial area effect methods are based on the hypothesis that each pixel value depends on the area at both sides of the edge inside that pixel, producing accurate individual estimation for every edge pixel.

  6. Detection theory - Wikipedia

    en.wikipedia.org/wiki/Detection_theory

    Detection theory or signal detection theory is a means to measure the ability to differentiate between information-bearing patterns (called stimulus in living organisms, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator).

  7. Unimodal thresholding - Wikipedia

    en.wikipedia.org/wiki/Unimodal_thresholding

    Most threshold selection algorithms assume that the intensity histogram is multi-modal; typically bimodal. However, some types of images are essentially unimodal since a much larger proportion of just one class of pixels (e.g. the background) is present in the image, and dominates the histogram.

  8. Psychophysics - Wikipedia

    en.wikipedia.org/wiki/Psychophysics

    A participant might not feel a single hair being touched, but might detect the touch of two or three hairs, as this exceeds the threshold. The absolute threshold is also often referred to as the detection threshold. Various methods are employed to measure absolute thresholds, similar to those used for discrimination thresholds (see below).

  9. Absolute threshold - Wikipedia

    en.wikipedia.org/wiki/Absolute_threshold

    The odor detection threshold is the lowest concentration of a certain odor compound that is perceivable by the human sense of smell. The threshold of a chemical compound is determined in part by its shape , polarity , partial charges and molecular mass . [ 17 ]