Applies binary segmentation to the bitmap using an automatically calculated threshold based on a two-peak method of statistical analysis of the histogram.
virtual L_INT LBitmap::AutoBinary(uFlags = 0)
Reserved for future use. Must be 0.
|SUCCESS||The function was successful.|
|< 1||An error occurred. Refer to Return Codes.|
The bitmap is transformed into a binary image using a threshold calculated automatically based on statistical features of the bitmap. Best results are obtained with grayscale bitmaps.
Use LBitmap::AutoBinary when you simply want to apply binary segmentation to the bitmap using an automatically calculated threshold based on a two-peak method of statistical analysis on its histogram. Use LBitmap::DynamicBinary if you want to convert a bitmap into a black and white image without changing its bits per pixel by using a local threshold value for each pixel of the image. Use LBitmap::AutoBinarize if you want:
Pre-processing to include background elimination
Pre-processing to include color leveling
To perform automatic, percentile or median thresholding
To manually specify a threshold value
This function supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
If the bitmap has a region, the effect will be applied on the region only.
This function does not support signed data images. It returns the error code ERROR_SIGNED_DATA_NOT_SUPPORTED if a signed data image is passed to this function.
This function does not support 32-bit grayscale images. It returns the error code ERROR_GRAY32_UNSUPPORTED if a 32-bit grayscale image is passed to this function.
Auto Binary Segment Function - Before
Auto Binary Segment Function - After
View additional platform support for this Auto Binary Segment function.
L_INT LBitmap__AutoBinaryExample(LAnimationWindow *pBitmapWindow)
Medical Web Viewer .NET
.NET, Java, Android, and iOS/macOS Assemblies
C API/C++ Class Libraries