# Analyze blob statisticsđ

Calulates histograms of blobs in a gray scale image. The blobs are marked with labels given in the labeled image input. Calculates also statistical features from the histograms.

## Inputsđ

`image`

: Input image.`labels`

: A labeled image which is typically created from the input image with DetectBlobsTool. Each connected blob in the output image is marked with a distinct numeric label. Pixels that belong to the first detected blob are ones, the pixels that belong to the second one with twos and so on. Background is zero.

## Outputsđ

`histogram`

: A M-by-N matrix of histograms. M is the number of blobs and N is the maximum number of gray levels in the input image. M depends on the dynamic scale of the input image, but is always at least 256. Each contains a histogram calculated from those pixels in the input image which coincide with the corresponding label in the label image.`first`

: The index of the first non-zero value in the histogram. -1 if all values are zeros, otherwise the value is on range 0âŚN-1. A M-by-1 matrix.`last`

: The index of the last non-zero value in the histogram. -1 if all values are zeros, otherwise the value is on range 0âŚN-1. A M-by-1 matrix.`range`

:*last*-*first*+ 1, or zero if the histogram is all zeros. A M-by-1 matrix.`sum`

: Sum of all entries in the histogram. A M-by-1 matrix.`mean`

: Mean of the dataset from which the histogram was calculated. A M-by-1 matrix.`weightedSum`

: Sum of all entries in the histogram weighted by the index of each entry. Computed as*sum***mean*. A M-by-1 matrix.`minIndex`

: The index of the minimum value. If there are many indices with the same value, this is the first one. A M-by-1 matrix.`maxIndex`

: The index of the maximum value. If there are many indices with the same value, this is the first one. A M-by-1 matrix.`variance`

: Variance of the dataset from which the histogram was calculated. A M-by-1 matrix.`stdDev`

: Standard deviation of the dataset from which the histogram was calculated. Computed as square root of*variance*. A M-by-1 matrix.`stdMean`

: Mean deviation of the dataset from which the histogram was calculated. Computed as average of absolute differences to the mean value. A M-by-1 matrix.`median`

: Median of the dataset from which the histogram was calculated. A M-by-1 matrix.`skewness`

: Skewness of the dataset from which the histogram was calculated. A M-by-1 matrix.`kurtosis`

: Kurtosis of the dataset from which the histogram was calculated. A M-by-1 matrix.