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INTEGRAL PROJECTIONS

An integral projection is a one-dimensional pattern, or signal, obtained through the sum of a given set of pixels along a given direction. Horizontal and vertical integral projections are most commonly used, although they can be applied on any direction.

Let i(x,y) be an image (greyscale or color) and R(i) a region in it (i.e., a set of pixels in i(x,y)), the Vertical Integral Projection of R(i), denoted by PVR(i), is a discrete function:
PVR(i) : {ymin, ..., ymax}
® R

Defined by:
PVR(i) (y) = Mean(i(x,y));
" (x,y) Î R(i)

The Horizontal Integral Projection of R(i), denoted by PHR(i), is defined in a similar way:
PHR(i) : {xmin, ..., xmax}
® R
PHR(i) (x) = Mean(i(x,y)),
" (x,y) Î R(i)

The Integral Projection Along an Arbitrary Angle a, denoted by PaR(i), is defined as the vertical integral projection of R(i), after applying to the image a rotation of a.

intpro.gif (40197 bytes)
Sample image, with vertical (right) and horizontal (down) integral projections.


Projection Models


Rapid Alignment of Integral Projections

intpro.gif (40197 bytes)

intpro.gif (40197 bytes)


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