11 August 1995 Self-consistent mathematical morphological filter for removing cirrus noise from far-infrared astronomical images
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Abstract
The presence of diffuse far-infrared emission from the interstellar dust which has the form of the so-called 'Galactic-cirrus' has made the detection and flux determination of faint extragalactic sources difficult, especially near the Galactic plane. This effect is most serious at long infrared wavelengths around (lambda) 100 micrometers , and is especially obvious in sky survey images made with the infrared astronomical satellite (IRAS) at those wavelengths. We describe the development of a filter designed to remove the cirrus emission from the IRAS images using classification and morphological operations. The technique, based upon 'sieving', involves extracting the size information of the objects to form a growth cube, and then classifying the growth information with the K-means method. This allows the cirrus emission to be distinguished from other forms of emission in the images. The growth characteristic of the cirrus is then used to remove the cirrus components from the growth for each pixel for each field making extragalactic infrared emission more observable. This filtering process was applied to various fields detected by IRAS and the cirrus noise filtered successfully.
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Lun X. He, Lun X. He, John P. Basart, John P. Basart, Philip N. Appleton, Philip N. Appleton, Jeffrey A. Pedelty, Jeffrey A. Pedelty, } "Self-consistent mathematical morphological filter for removing cirrus noise from far-infrared astronomical images", Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); doi: 10.1117/12.216343; https://doi.org/10.1117/12.216343
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