# Additional ImageJ parameters

## Additional ImageJ parameters

Hi,

I'm trying to find a description of additional measurement features which are calculated by ImageJ/zooprocess. Some of the basic features have already been described in the manual, but I cannot find a description or reference for about half of the features in the expanded set. I attach the list of features below. Can somebody provide a link to the remaining descriptions?

Thanks!

Jesse

Area Surface area of the object in square pixels

Mean Average grey value within the object; sum of the grey values of all pixels in the object divided by the number of pixels

StdDev standard deviation of the grey value used to generate the mean grey value

Mode modal grey value within the object

Min minimum grey value within the object

Max maximum grey value within the ojbect

X X position of the center of gravity of the object

Y Y position of the center of gravity of the object

XM X position of the center of gravity of the object's grey level

YM Y position of the center of gravtiy of the object's grey level

Perim. The length of the outside boundary of the object

BX X coordinate of the top left point of the smallest rectangle enclosing the object

BY Y coordinate of the top left point of the smallest rectangle enclosing the object

Width Width of the smallest rectangle enclosing the object

Height Height of the smallest rectangle enclosing the object

Major Primary axis of the best fitting ellipse for the object

Minor Secondary axis of the best fitting ellipse for the object

Angle Angle between the primary axis and a line parallel to the x-axis of the image

Circ. circularity = (4*Pi*Area)/perim^2; a value of 1 indicates a perfect circle, a value approaching 0 indicates an increasingly elongated polygon

Feret Maximum feret diameter, i.e. the longest distance between any two points along the object boundary

IntDen Integrated density. The sum of the grey values of the pixels in the object (i.e. = Area*Mean)

Median Median grey value within the object

Skew Skewness of the histogram of the grey level values

Kurt Kurtosis of the histogram of the grey level values

%Area Percentage of the object's surface area that is comprised of holes, defined as the background grey level.

XStart X coordinate of the top left point of the image (I think this is only used to extract the small image from the large one)

YStart Y coordinate of the top left point of the image (I think this is only used to extract the small image from the large one)

Area_exc surface area of the object excluding holes in square pixels (=Area*(1-(%area/100)))

Fractal Fractal dimension of the object boundary (Berube and Jebrak, 1999)

Skelarea Surface area of skeleton in pixels. In a binary image, the skeleton is obtained by repeatedly removing pixels from the edges of objects until they are reduced to the width of a single pixel.

Slope slope of the grey level normalized cumulative historgram

Histcum1 grey level value at 25% of the normalized cumulative histogram of grey levels

Histcum2 grey level value at 50% of the normalized cumulative histogram of grey levels

Histcum3 grey level value at 75% of the normalized cumulative histogram of grey levels

XMg5 X position of the center of gravity of the object using a gamma value of 51

YMg5 Y position of the center of gravity of the object using a gamma value of 51

Nb1

Nb2

Nb3

Compentropy

Compmean

Compslope

CompM1

CompM2

CompM3

Symetrieh

Symetriev

Symetriehc

Symetrievc

Convperim

Convarea

Fcons

ThickR

Tag

Elongation

Range

MeanPos

CentroidsD

CV

SR

PerimAreaexc

FeretAreaexc

PerimFeret

PerimMaj

Circexc

CDexc

I'm trying to find a description of additional measurement features which are calculated by ImageJ/zooprocess. Some of the basic features have already been described in the manual, but I cannot find a description or reference for about half of the features in the expanded set. I attach the list of features below. Can somebody provide a link to the remaining descriptions?

Thanks!

Jesse

Area Surface area of the object in square pixels

Mean Average grey value within the object; sum of the grey values of all pixels in the object divided by the number of pixels

StdDev standard deviation of the grey value used to generate the mean grey value

Mode modal grey value within the object

Min minimum grey value within the object

Max maximum grey value within the ojbect

X X position of the center of gravity of the object

Y Y position of the center of gravity of the object

XM X position of the center of gravity of the object's grey level

YM Y position of the center of gravtiy of the object's grey level

Perim. The length of the outside boundary of the object

BX X coordinate of the top left point of the smallest rectangle enclosing the object

BY Y coordinate of the top left point of the smallest rectangle enclosing the object

Width Width of the smallest rectangle enclosing the object

Height Height of the smallest rectangle enclosing the object

Major Primary axis of the best fitting ellipse for the object

Minor Secondary axis of the best fitting ellipse for the object

Angle Angle between the primary axis and a line parallel to the x-axis of the image

Circ. circularity = (4*Pi*Area)/perim^2; a value of 1 indicates a perfect circle, a value approaching 0 indicates an increasingly elongated polygon

Feret Maximum feret diameter, i.e. the longest distance between any two points along the object boundary

IntDen Integrated density. The sum of the grey values of the pixels in the object (i.e. = Area*Mean)

Median Median grey value within the object

Skew Skewness of the histogram of the grey level values

Kurt Kurtosis of the histogram of the grey level values

%Area Percentage of the object's surface area that is comprised of holes, defined as the background grey level.

XStart X coordinate of the top left point of the image (I think this is only used to extract the small image from the large one)

YStart Y coordinate of the top left point of the image (I think this is only used to extract the small image from the large one)

Area_exc surface area of the object excluding holes in square pixels (=Area*(1-(%area/100)))

Fractal Fractal dimension of the object boundary (Berube and Jebrak, 1999)

Skelarea Surface area of skeleton in pixels. In a binary image, the skeleton is obtained by repeatedly removing pixels from the edges of objects until they are reduced to the width of a single pixel.

Slope slope of the grey level normalized cumulative historgram

Histcum1 grey level value at 25% of the normalized cumulative histogram of grey levels

Histcum2 grey level value at 50% of the normalized cumulative histogram of grey levels

Histcum3 grey level value at 75% of the normalized cumulative histogram of grey levels

XMg5 X position of the center of gravity of the object using a gamma value of 51

YMg5 Y position of the center of gravity of the object using a gamma value of 51

Nb1

Nb2

Nb3

Compentropy

Compmean

Compslope

CompM1

CompM2

CompM3

Symetrieh

Symetriev

Symetriehc

Symetrievc

Convperim

Convarea

Fcons

ThickR

Tag

Elongation

Range

MeanPos

CentroidsD

CV

SR

PerimAreaexc

FeretAreaexc

PerimFeret

PerimMaj

Circexc

CDexc

**Jesse**- Posts : 1

Join date : 2011-01-24

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