Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

step

System object: vision.ForegroundDetector
Package: vision

Detect foreground using Gaussian mixture models

Syntax

foregroundMask = step(H,I)
foregroundMask = step(H,I,learningRate)

Description

    Note:   Starting in R2016b, instead of using the step method to perform the operation defined by the System object™, you can call the object with arguments, as if it were a function. For example, y = step(obj,x) and y = obj(x) perform equivalent operations.

foregroundMask = step(H,I) computes the foreground mask for input image I, and returns a logical mask. When the object returns foregroundMask set to 1, it represents foreground pixels. Image I can be grayscale or color. When you set the AdaptLearningRate property to true (default), the object permits this form of the step function call.

foregroundMask = step(H,I,learningRate) computes the foreground mask for input image I using the LearningRate you provide. When you set the AdaptLearningRate property to false, the object permits this form of the step function call.

    Note:   H specifies the System object on which to run this step method.

    The object performs an initialization the first time the step method is executed. This initialization locks nontunable properties and input specifications, such as dimensions, complexity, and data type of the input data. If you change a nontunable property or an input specification, the System object issues an error. To change nontunable properties or inputs, you must first call the release method to unlock the object.

Was this topic helpful?