Based on QSO spectrum features, a Quasar Stellar Object Recognition model is built. In this system, Guided by the knowledge on QSO, multiscale morphology filtering, spatially selective filtering, elastic matching and Evidence Theory play a critical role. In these fields, we put forward several contributions as follows: l. Maragos proposed any operator with translation invariant and increasing can be represented by intersection of dilation or union of erosion, and gives an approach to select its basis. Here we draw a conclusion that the basis may be infinite, even nondenumerable. 2. Offering two morphological filters. One is the combination operator of dilation and erosion, but their scales are different. This operator can be used on feature extracting. Based on the newly irregular points located on dilated(eroded) curves, we designed another morphology filter by studying point of contact(POC). The filtering result is close to Opening(Closing), but this novel property is much more simply. Both of these two filters are translation invariant and increasing. 3. As a developing approach, multiscale analysis demands monotonicity. In this paper, for ID curves with only limited non-differentiable points, multiscale dilation(erosion) has monotonicity -- the number of extreme decreases with scale increasing. Unfortunately, it does not hold for higher dimensions functions. The fingerprints contrast between dilation and Guassian is put forward. Furthermore, we propose that the decreasing rate almost slows down with scale increasing. Based on the decreasing rate property, the maximal scale can be selected. This concept can be extended to Guassian filter. 4.To combine the results from different scales filtering, the spatially selective filtering approach is a good way, which enhances features and remove noises. We expand Xu's approach and propose the necessary conditions for this filter. 5. As we know, there is an apparent weak on Evidence Theory, which is correct only when evidences is independent. Apparently this demand is seldom satisfied. But the novel de-coupling operator can make all evidences independent, thus Dempster Evidence Combination Formula can be used.
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