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

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	​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 .