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Statistics

Statistical operations, and blob anaylsis

System Objects

vision.Autocorrelator Compute 2-D autocorrelation of input matrix
vision.BlobAnalysis Properties of connected regions
vision.Crosscorrelator 2-D cross-correlation of two input matrices
vision.LocalMaximaFinder Find local maxima in matrices
vision.Maximum Find maximum values in input or sequence of inputs
vision.Mean Find mean value of input or sequence of inputs
vision.Median Find median values in an input
vision.Minimum Find minimum values in input or sequence of inputs
vision.StandardDeviation Find standard deviation of input or sequence of inputs
vision.Variance Find variance values in an input or sequence of inputs

Blocks

2-D Autocorrelation Compute 2-D autocorrelation of input matrix
2-D Correlation Compute 2-D cross-correlation of two input matrices
2-D Histogram Generate histogram of input or sequence of inputs
2-D Maximum Find maximum values in input or sequence of inputs
2-D Mean Find mean value of each input matrix
2-D Median Find 2-D Median value of each input matrix
2-D Minimum Find minimum values in input or sequence of inputs
2-D Standard Deviation Find standard deviation of each input matrix
2-D Variance Compute variance of input or sequence of inputs
Blob Analysis Compute statistics for labeled regions
Find Local Maxima Find local maxima in matrices
PSNR Compute peak signal-to-noise ratio (PSNR) between images

Topics

MATLAB Workflow

Cell Counting

This example shows how to use a combination of basic morphological operators and blob analysis to extract information from a video stream.

Object Counting

This example shows how to use morphological operations to count objects in a video stream.

Simulink Workflow

Find the Histogram of an Image

The Histogram block computes the frequency distribution of the elements in each input image by sorting the elements into a specified number of discrete bins.

Correct Nonuniform Illumination

Use the Opening block to correct for uneven lighting in an image.

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