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Analysis and Statistics

Perform image statistics, contrast enhancement, and noise removal

Analysis and enhancement techniques enable you to increase signal-to-noise ratio and accentuate features

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

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.