Fractal dimensions are extremely useful in quantifying the degree of r
uggedness of highly irregular objects. Since the introduction of the c
oncept of fractal dimensions, by Mandelbrot [1], a large number of ana
lysis strategies have been developed to allow the measurement of fract
al dimensions. These analysis strategies can be divided into two broad
groups, vector and matrix based methods. Vector-based methods include
the structured walk algorithms such as the EXACT, FAST, HYBRID and FA
ENA algorithms. Matrix-based methods, ideally suited to image analysis
systems, include Mosaic Amalgamation, Lattice Interception, the Dilat
ion Method, the Blanket Algorithm, Displacement Method and the Distanc
e Transform Method. The EXACT method is ultimately the most accurate v
ector-based method capable of providing highly detailed Richardson plo
ts, however accuracy is achieved at the cost of analysis speed. The ot
her vector based methods are faster variants of the EXACT method. The
Dilation Method based on erosion-dilation logic is probably the most c
ommonly used matrix based method, however, the recently introduced Dis
tance Transform Method is more accurate, produces more data and is sub
stantially quicker.