cvAdaptiveThreshold¶

MLModule¶

author	`MeVis Medical Solutions AG`
package	`MeVisLab/Standard`
dll	`MLOpenCVModules`
definition	MLOpenCVModules.def

Purpose¶

The module cvAdaptiveThreshold applies an adaptive 2D threshold to the image and creates a binary image (with 0/255 for below/above values).

For more details, search the web for “OpenCV adaptive threshold”.

Note: This module only works on images with the data type uint8.

Windows¶

Default Panel¶

../../../Modules/ML/MLOpenCVModules/mhelp/Images/Screenshots/cvAdaptiveThreshold._default.png

Input Fields¶

input0¶

name: input0, type: Image¶

Output Fields¶

output0¶

name: output0, type: Image¶

Parameter Fields¶

Visible Fields¶

Block Size¶

name: blockSize, type: Integer, default: 3, minimum: 3¶

Sets the block size for calculating the adaptive threshold (mean/Gaussian kernel size).

The block size must be odd.

Constant¶

name: constant, type: Double, default: 5¶

Sets a constant that is subtracted from the calculated mean/Gaussian threshold.

The constant is used to bias the resulting threshold value.

Mode¶

name: mode, type: Enum, default: Gaussian¶: Defines the adapted threshold mode.

Values:

Title Name Description

Mean Mean The threshold value T(x, y) is a mean of the (blockSize x blockSize) neighborhood of (x, y) minus Constant.

Gaussian

The threshold value T(x, y) is a weighted sum (cross-correlation with a Gaussian window) of the (blockSize x blockSize) neighborhood of (x, y) minus Constant.

The default sigma (standard deviation) is used for the specified blockSize .