cvAdaptiveThreshold Method (src, dst, maxValue, adaptiveType, thresholdType, blockSize, param1)

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Transforms grayscale image to binary image. Threshold calculated individually for each pixel. For the method CV_ADAPTIVE_THRESH_MEAN_C it is a mean of blockSize x blockSize pixel neighborhood, subtracted by param1. For the method CV_ADAPTIVE_THRESH_GAUSSIAN_C it is a weighted sum (gaussian) of blockSize x blockSize pixel neighborhood, subtracted by param1.

Declaration Syntax

Visual Basic

Visual C++

public static void cvAdaptiveThreshold(
	IntPtr src,
	IntPtr dst,
	double maxValue,
	ADAPTIVE_THRESHOLD_TYPE adaptiveType,
	THRESH thresholdType,
	int blockSize,
	double param1
)

Public Shared Sub cvAdaptiveThreshold ( _
	src As IntPtr, _
	dst As IntPtr, _
	maxValue As Double, _
	adaptiveType As ADAPTIVE_THRESHOLD_TYPE, _
	thresholdType As THRESH, _
	blockSize As Integer, _
	param1 As Double _
)

public:
static void cvAdaptiveThreshold(
	IntPtr src, 
	IntPtr dst, 
	double maxValue, 
	ADAPTIVE_THRESHOLD_TYPE adaptiveType, 
	THRESH thresholdType, 
	int blockSize, 
	double param1
)

Parameters

src (IntPtr): Source array (single-channel, 8-bit of 32-bit floating point).

dst (IntPtr): Destination array; must be either the same type as src or 8-bit.

maxValue (Double): Maximum value to use with CV_THRESH_BINARY and CV_THRESH_BINARY_INV thresholding types

adaptiveType (ADAPTIVE_THRESHOLD_TYPE): Adaptive_method

thresholdType (THRESH): Thresholding type

blockSize (Int32): The size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, ...

param1 (Double): Constant subtracted from mean or weighted mean. It may be negative.

Assembly: Emgu.CV (Module: Emgu.CV) Version: 1.3.0.0 (1.3.0.0)