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- W2401665057 abstract "Instead of expensive and complicated diagnostic equipment, low-cost infrared cameras can record vein images noninvasively and simply. However, the recorded image may induce low contrast and a worse signal-to-noise (S/N) ratio. To solve this problem, an effective image filtering method to catch vein shapes will enable the early detection of disease. Therefore, a new filtering method based on the genetic algorithm (GA) with the expectation maximization (EM) algorithm was proposed for the analysis of vein images acquired from a near-infrared (780 nm) CCD camera. The new filter was automatically designed by the GA to modify the worse S/N ratio of vein images, with an unknown correct image answer. If the proposed filtering method is incorporated into the e-healthcare application, it could be widely distributed through smart phones or tablets." @default.
- W2401665057 created "2016-06-24" @default.
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- W2401665057 date "2014-01-01" @default.
- W2401665057 modified "2023-09-25" @default.
- W2401665057 title "Automatic Creation of an Efficient Image Filter based on the Genetic Algorithm for Evaluation of Veins" @default.
- W2401665057 doi "https://doi.org/10.5220/0004913505060510" @default.
- W2401665057 hasPublicationYear "2014" @default.
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