enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Histogram_equalization

    However, if the image is first converted to another color space, Lab color space, or HSL/HSV color space in particular, then the algorithm can be applied to the luminance or value channel without resulting in changes to the hue and saturation of the image. [5] There are several histogram equalization methods in 3D space.

  3. Adaptive histogram equalization - Wikipedia

    en.wikipedia.org/.../Adaptive_histogram_equalization

    Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image.

  4. Balanced histogram thresholding - Wikipedia

    en.wikipedia.org/wiki/Balanced_histogram...

    In image processing, the balanced histogram thresholding method (BHT), [1] is a very simple method used for automatic image thresholding. Like Otsu's Method [ 2 ] and the Iterative Selection Thresholding Method , [ 3 ] this is a histogram based thresholding method.

  5. Histogram matching - Wikipedia

    en.wikipedia.org/wiki/Histogram_matching

    In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [1] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed. [2] It is possible to use histogram matching to balance detector ...

  6. File:JPEG example subimage - equalized.svg - Wikipedia

    en.wikipedia.org/wiki/File:JPEG_example_subimage...

    Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.

  7. Color normalization - Wikipedia

    en.wikipedia.org/wiki/Color_normalization

    It refers to a class of image transforms which aims to obtain images of which the histograms have a desired shape. [2] As specified, firstly it is necessary to convert the image so that it has a particular histogram. Assume an image x. The following formula is the equalization transform of this image:

  8. 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. In such circumstances many of the standard ...

  9. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    1.3 Python implementation. ... Download QR code; Print/export ... the mathematical grounding of Otsu's method models the histogram of the image as a mixture of two ...