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