Shape factor (Image analysis and microscopy)

From Wikipedia, the free encyclopedia

See also: Shape factor

Shape factors are dimensionless quantities used in image analysis and microscopy that numerically describe the shape of a particle, independent of its size. Shape factors are calculated from measured dimensions, such as diameter, chord lengths, area, perimeter, centroid, moments, etc. The dimensions of the particles are usually measured from two-dimensional cross-sections or projections, as in a microscope field, but shape factors also apply to three-dimensional objects. The particles could be the grains in a metallurgical or ceramic microstructure, or the microorganisms in a culture, for example. The dimensionless quantities often represent the degree of deviation from an ideal shape, such as a circle, sphere or equilateral polyhedron.[1] Shape factors are often normalized, that is, the value ranges from zero to one. A shape factor equal to one usually represents an ideal case or maximum symmetry, such as a circle, sphere, square or cube.

Contents

[edit] Aspect Ratio

  • The most common shape factor is the aspect ratio, a function of the largest diameter and the smallest diameter orthogonal to it:
A_R = \frac{d_{min}}{d_{max}}

The normalized aspect ratio varies from approaching zero for a very elongated particle, such as a grain in a cold-worked metal, to near unity for an equiaxed grain. The reciprocal of the right side of the above equation is also used, such that the AR varies from one to approaching infinity.


[edit] Circularity

Another very common shape factor is the circularity, a function of the perimeter P and the area A:

f_{circ} = \frac {4 \pi A} {P^2}

The circularity of a circle is one, and much less than one for a starfish footprint. The reciprocal of the circularity equation is also used, such that fcirc varies from one for to infinity.


[edit] Elongation shape factor

The less-common elongation shape factor is defined as the square root of the ratio of the two second moments in of the particle around its principal axes. [2]

f_{elong} = \sqrt{\frac{i_2}{i_1}}


[edit] Compactness shape factor

The compactness shape factor is a function of the polar second moment in of a particle and a circle of equal area A. [2]

f_{comp} = \frac{A^2}{2 \pi \sqrt{{i_1}^2 + {i_2}^2}}

The fcomp of a circle is one, and much less than one for the cross-section of an I-beam.


[edit] Waviness shape factor

The waviness shape factor of the perimeter is a function of the convex portion of the perimeter Pcvx to the total. [2]

f_{wav} = \frac{P_{cvx}}{P}

Some properties of metals and ceramics, such as fracture toughness, have been linked to grain shapes.[3] [4]


[edit] An Application of Shape Factors

Greenland, the largest island in the world, has an area of 2,166,086 km2; a coastline (perimeter) of 39,330 km; a north-south length of 2670 km; and an east-west length of 1290 km. The aspect ratio of Greenland is

A_R = \frac{1290}{2670} = 0.483

The circularity of Greenland is

f_{circ} = \frac {4 \pi (2166086)} {(39330)^2} = 0.0176

The aspect ratio is agreeable with an eyeball-estimate on a globe. Such an estimate on a flat map would be less accurate due to the distortion of high-latitude projections. The circularity is deceptively low, due to the fjords that give Greenland a very jagged coastline. A low value of circularity does not necessarily indicate a lack of symmetry! And shape factors are not limited to microscopic objects!

[edit] References

  1. ^ L. Wojnar & K.J. Kurzydłowski, et al., Practical Guide to Image Analysis, ASM International, 2000, p 157-160, ISBN 0-87170-688-1.
  2. ^ a b c H.E. Exner & H.P. Hougardy, Quantitative Image Analysis of Microstructures, DGM Informationsgesellschaft mbH, 1988, p 33-39, ISBN 3-88355-132-5.
  3. ^ P.F. Becher, et al., "Microstructural Design of Silicon Nitride with Improved Fracture Toughness: I, Effects of Grain Shape and Size," J. American Ceramic Soc., Vol 81, Issue 11, P 2821-2830, Nov 1998.
  4. ^ T. Huang, et al., "Anisotropic Grain Growth and Microstructural Evolution of Dense Mullite above 1550°C," J. American Ceramic Soc., Vol 83, Issue 1, P 204-10, Jan 2000.

[edit] Further Reading

  • J.C. Rust & R.T. Dehoff, Practical Stereology, 2nd Ed., Kluwer Academic, 2000.
  • E.E. Underwood, Quantitative Stereology, Addison-Wesley Publishing Co., 1970.
  • G.F. VanderVoort, Metallography: Principles and Practice, ASM International, 1984.