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Statistics

Statistical operations, and blob anaylsis

System Objects

vision.AutocorrelatorCompute 2-D autocorrelation of input matrix
vision.BlobAnalysisProperties of connected regions
vision.Crosscorrelator2-D cross-correlation of two input matrices
vision.LocalMaximaFinderFind local maxima in matrices
vision.MaximumFind maximum values in input or sequence of inputs
vision.MeanFind mean value of input or sequence of inputs
vision.MedianFind median values in an input
vision.MinimumFind minimum values in input or sequence of inputs
vision.StandardDeviationFind standard deviation of input or sequence of inputs
vision.VarianceFind variance values in an input or sequence of inputs

Blocks

2-D AutocorrelationCompute 2-D autocorrelation of input matrix
2-D CorrelationCompute 2-D cross-correlation of two input matrices
2-D HistogramGenerate histogram of input or sequence of inputs
2-D MaximumFind maximum values in input or sequence of inputs
2-D MeanFind mean value of each input matrix
2-D MedianFind 2-D Median value of each input matrix
2-D MinimumFind minimum values in input or sequence of inputs
2-D Standard DeviationFind standard deviation of each input matrix
2-D VarianceCompute variance of input or sequence of inputs
Blob AnalysisCompute statistics for labeled regions
Find Local MaximaFind local maxima in matrices
PSNRCompute 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.