 | TesseractOcrImageAdaptiveThresholdingSettings Class |
Holds settings for aplying the local adaptive binarization method to the image for converting it to black and white.
Inheritance HierarchyNamespace: DevScope.Ocr.Tesseract.Windows
Assembly: DevScope.Ocr.Tesseract.Windows.x86 (in DevScope.Ocr.Tesseract.Windows.x86.dll) Version: 2.0.0.0 (2.0.0.0)
SyntaxThe TesseractOcrImageAdaptiveThresholdingSettings type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | TesseractOcrImageAdaptiveThresholdingSettings |
Initializes a new instance of the TesseractOcrImageAdaptiveThresholdingSettings class.
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Methods| Name | Description | |
|---|---|---|
| Equals | (Inherited from Object.) |
| GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Properties| Name | Description | |
|---|---|---|
 | Enabled |
Gets or Sets a value indicating whether adaptive thresholding (a.k.a. local or dynamic thresholding) should be used when thresholding the page image.
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| HalfLocalWindow |
Gets or Sets the Local window half size. Must always be greater than 3. The default value is 10.
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| WeightingFactor |
Gets or Sets the pixel value intensity Weighting factor. The default value is 0.15.
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RemarksThresholding is the simplest way to segment objects from a background.
If that background is relatively uniform, then you should leave the Enabled setting to false (which is the default behaviour) and a global threshold value will be used to binarize the image by pixel-intensity.
If there’s large variation in the background intensity (like a camera image), however, adaptive thresholding (a.k.a. local or dynamic thresholding) may produce better results.
This algorithm uses a custom implementation of the Sauvola method.
See Also