On Sequential On-Line Outlier Detection and a Linescan Application

Vihonen, Juho; Ala-Kleemola, T.; Kerminen, Riitta; Jylhä, Juha; Visa, Ari

doi:10.1109/icassp.2006.1660719

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“…Using neighboring extrema as spatial edges is very likely beneficial in further segmentation. This work continued the earlier work [17], which only scratched the topic. Here, we generalized the CUSUM algorithm from 1-D to 2-D in Viterbi-like fashion.…”

Section: Discussionmentioning

confidence: 82%

Metadata in Sequential Real-Time 2-D Detection

Vihonen

Ala-Kleemola

Jylhä

et al. 2007

IEEE Signal Process. Lett.

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Extraction of patterns is an important low-level operation in several vision applications. In particular, this work is motivated by the problem of detecting unknown vague structures in images with a minimum sample number. Tracing of an unknown structure is allowed by the spatial 2-D placement of extremum. Often, this permits near-optimum testing of hypothesis, which also accentuates the descriptive value of extrema. The proposed sequential approach guarantees predictable detection delay, which is a significant advantage in real-time use. The performance is demonstrated with simulations and real experiments, where transients have unknown starting time.

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Section: Discussionmentioning

confidence: 82%