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Balanced histogram thresholding, the Glossary

Index Balanced histogram thresholding

In image processing, the balanced histogram thresholding method (BHT), is a very simple method used for automatic image thresholding.[1]

Table of Contents

  1. 7 relations: C (programming language), Digital image processing, Histogram, Otsu's method, Python (programming language), Thresholding (image processing), Weighing scale.

  2. Image segmentation

C (programming language)

C (pronounced – like the letter c) is a general-purpose programming language.

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Digital image processing

Digital image processing is the use of a digital computer to process digital images through an algorithm.

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Histogram

A histogram is a visual representation of the distribution of quantitative data.

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Otsu's method

In computer vision and image processing, Otsu's method, named after, is used to perform automatic image thresholding. Balanced histogram thresholding and Otsu's method are image segmentation.

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Python (programming language)

Python is a high-level, general-purpose programming language.

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Thresholding (image processing)

In digital image processing, thresholding is the simplest method of segmenting images. Balanced histogram thresholding and thresholding (image processing) are image segmentation.

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Weighing scale

A scale or balance is a device used to measure weight or mass.

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See also

Image segmentation

References

[1] https://en.wikipedia.org/wiki/Balanced_histogram_thresholding