  We introduce ProFound, a source finding and image analysis package. ProFound
provides methods to detect sources in noisy images, generate segmentation maps
identifying the pixels belonging to each source, and measure statistics like
flux, size and ellipticity. These inputs are key requirements of ProFit, our
recently released galaxy profiling package, where the design aim is that these
two software packages will be used in unison to semi-automatically profile
large samples of galaxies. The key novel feature introduced in ProFound is that
all photometry is executed on dilated segmentation maps that fully contain the
identifiable flux, rather than using more traditional circular or ellipse based
photometry. Also, to be less sensitive to pathological segmentation issues, the
de-blending is made across saddle points in flux. We apply ProFound in a number
of simulated and real world cases, and demonstrate that it behaves reasonably
given its stated design goals. In particular, it offers good initial parameter
estimation for ProFit, and also segmentation maps that follow the sometimes
complex geometry of resolved sources, whilst capturing nearly all of the flux.
A number of bulge-disc decomposition projects are already making use of the
ProFound and ProFit pipeline, and adoption is being encouraged by publicly
releasing the software for the open source R data analysis platform under an
LGPL-3 license on GitHub (github.com/asgr/ProFound).
