WOLFRAM

Wolfram Language & System Documentation Center

TopHatTransform[image,ker]

gives the morphological top-hat transform of image with respect to structuring element ker.

TopHatTransform[image,r]

gives the top-hat transform with respect to a range-r square.

TopHatTransform[data,…]

applies top-hat transform to an array of data.

Details
Details and Options Details and Options
Examples  
Basic Examples  
Applications  
Interactive Examples  
See Also
Related Guides
History
Cite this Page

TopHatTransform

TopHatTransform[image,ker]

gives the morphological top-hat transform of image with respect to structuring element ker.

TopHatTransform[image,r]

gives the top-hat transform with respect to a range-r square.

TopHatTransform[data,…]

applies top-hat transform to an array of data.

Details

  • Top-hat transform is a morphological operation used for enhancing small bright regions in an image, and can be used to remove uneven background illumination or extract features.
  • BottomHatTransform is effectively the same as subtracting the morphologically opened image from the image.
  • TopHatTransform works with binary, grayscale, and other images.
  • TopHatTransform works with 3D as well as 2D images, and also with data arrays of any rank.
  • The structuring element ker is a matrix containing 0s and 1s.
  • TopHatTransform automatically pads structuring elements to have odd dimensions.
  • TopHatTransform[image,r] is equivalent to TopHatTransform[image,BoxMatrix[r]].
  • If multiple image channels are present, TopHatTransform operates on each of them separately.
  • TopHatTransform preserves regions smaller than the structuring element whose channel values are larger than their surroundings.

Examples

open all close all

Basic Examples  (4)

Extract thin lines from a multichannel image:

Remove disks larger than the structuring element:

Correct uneven illumination to count grains of rice:

Correct uneven illumination and remove the large feature:

Applications  (4)

Extract small, bright regions from a color image:

Subtract from the original image to remove small features:

Locate small, bright regions of a specific color channel:

Use the mask as the alpha channel:

Correct uneven background illumination in a grayscale image:

Isolate the lightning in an image:

Interactive Examples  (1)

Use Manipulate to extract successively larger objects:

Wolfram Research (2008), TopHatTransform, Wolfram Language function, https://reference.wolfram.com/language/ref/TopHatTransform.html (updated 2012).

Text

Wolfram Research (2008), TopHatTransform, Wolfram Language function, https://reference.wolfram.com/language/ref/TopHatTransform.html (updated 2012).

CMS

Wolfram Language. 2008. "TopHatTransform." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2012. https://reference.wolfram.com/language/ref/TopHatTransform.html.

APA

Wolfram Language. (2008). TopHatTransform. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/TopHatTransform.html

BibTeX

@misc{reference.wolfram_2025_tophattransform, author="Wolfram Research", title="{TopHatTransform}", year="2012", howpublished="\url{https://reference.wolfram.com/language/ref/TopHatTransform.html}", note=[Accessed: 28-August-2025]}

BibLaTeX

@online{reference.wolfram_2025_tophattransform, organization={Wolfram Research}, title={TopHatTransform}, year={2012}, url={https://reference.wolfram.com/language/ref/TopHatTransform.html}, note=[Accessed: 28-August-2025]}