Segmentation and detection of extended structures in low frequency astronomical surveys using hybrid wavelet decomposition.
The morphological complexity of extended real structures (such as SNRs, HII regions, bow shocks, etc), and their wide variety in scale and surface brightness make their automatic detection and segmentation in large surveys a difficult task. We propose in this paper a segmentation method based on applying wavelet decomposition in the residual thresholded images. This strategy avoids the artifacts produced by strong sources in a straight wavelet decomposition. Our method successfully segments extended structures at different scales and therefore is suitable for further morphological analysis and object recognition processes. Results using images from radio and infrared wavelengths surveys demonstrate the validity of our approach.
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