Ample evidence exists regarding supernovae being a major contributor to interstellar dust .
In this work , the deepest far-infrared observations of the Crab Nebula are used to revisit the estimation of the dust mass present in this supernova remnant .
Images in filters between 70 and 500 \mu m taken by the PACS and SPIRE instruments on-board of the Herschel Space Observatory are used . With an automated approach we constructed the spectral energy distribution of the Crab nebula to recover the dust mass .
This approach makes use of several image processing techniques ( thresholding , morphological processes , contouring , etc.. ) to objectively separate the nebula from its surrounding background .
After subtracting the non-thermal synchrotron component from the integrated fluxes , the spectral energy distribution is found to be best fitted using a single modified blackbody of temperature T = 42.06 \pm 1.14 K and a dust mass of M _ { d } = 0.056 \pm 0.037 M _ { \odot } .
In this paper , we show the importance of the photometric analysis and spectral energy distribution construction in the inference of the dust mass of the Crab nebula .