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What is image binarization?

2023-07-17WIKI

Image binarization is a process that converts the color or grayscale original captured images into digital binary images consisting of small black and white pixels. Image binarization is the basis of image analysis and is the key step in image processing used for particle identification.

 

Image binarization is a process that converts the color or grayscale original captured images into digital binary images consisting of small black and white pixels.

 

The measurement system provides two image binarization methods called automatic image binarization and double-threshold image binarization. Automatic image binarization is a binarization threshold determination method with which the binarization threshold is formulated automatically based on the original image.

 

In addition to the automatic image binarization, users are allowed to use double-threshold image binarization to highlight the pixels within a specific range of pixel values. In double-threshold image binarization, only pixels whose pixel values  are larger than or equal to the minimum threshold and lower than the maximal threshold will be identified as bright pixels. Other pixels will be recognized as dark pixels. An example is shown below. The binarization process varies with modified thresholds.

 

The image binarization process varies with modified thresholds

 

 

 

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