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Different Thresholding Techniques in Image Processing: a Review

EasyChair Preprint no. 7327

7 pagesDate: January 11, 2022


Document data is captured through optical scanning or digital video, resulting in a file of picture elements, or pixels, which serves as the raw input for document analysis. These pixels are samples of intensity values taken in a grid pattern throughout the document page, with intensity values ranging from OFF (0) to ON (1) for binary pictures, 0-255 for grayscale images, and 3 channels of 0-255 colour values for colour images. The initial stage in document analysis is to process this image so that it may be analysed further. Thresholding is used to convert a grayscale or colour image to a binary image, noise reduction is used to remove superfluous data. The goal of this paper is to summarize some thresholding technique for image processing.

Keyphrases: Adaptive Thresholding, Binarizations, global thresholding, intensity histogram, Thresholding

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Radha Seelaboyina and Rajeev Vishwkarma},
  title = {Different Thresholding Techniques in Image Processing: a Review},
  howpublished = {EasyChair Preprint no. 7327},

  year = {EasyChair, 2022}}
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