  We present an estimation of the point source (PS) catalogue that could be
extracted from the forthcoming ESA Planck mission data. We have applied the
Spherical Mexican Hat Wavelet (SMHW) to simulated all-sky maps that include
CMB, Galactic emission (thermal dust, free-free and synchrotron), thermal
Sunyaev-Zel'dovich effect and PS emission, as well as instrumental white noise.
This work is an extension of the one presented in Vielva et al. (2001a). We
have developed an algorithm focused on a fast local optimal scale
determination, that is crucial to achieve a PS catalogue with a large number of
detections and a low flux limit. An important effort has been also done to
reduce the CPU time processor for spherical harmonic transformation, in order
to perform the PS detection in a reasonable time. The presented algorithm is
able to provide a PS catalogue above fluxes: 0.48 Jy (857 GHz), 0.49 Jy (545
GHz), 0.18 Jy (353 GHz), 0.12 Jy (217 GHz), 0.13 Jy (143 GHz), 0.16 Jy (100 GHz
HFI), 0.19 Jy (100 GHz LFI), 0.24 Jy (70 GHz), 0.25 Jy (44 GHz) and 0.23 Jy (30
GHz). We detect around 27700 PS at the highest frequency Planck channel and
2900 at the 30 GHz one. The completeness level are: 70% (857 GHz), 75% (545
GHz), 70% (353 GHz), 80% (217 GHz), 90% (143 GHz), 85% (100 GHz HFI), 80% (100
GHz LFI), 80% (70 GHz), 85% (44 GHz) and 80% (30 GHz). In addition, we can find
several PS at different channels, allowing the study of the spectral behaviour
and the physical processes acting on them. We also present the basic procedure
to apply the method in maps convolved with asymmetric beams. The algorithm
takes ~ 72 hours for the most CPU time demanding channel (857 GHz) in a Compaq
HPC320 (Alpha EV68 1 GHz processor) and requires 4 GB of RAM memory.
