In this paper, a classification method is proposed. The idea behind the classifier is the pre-calculation of fuzzy membership function values that are stored in fuzzy multidimensional arrays (so-called fuzzy hypermatr...
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ISBN:
(纸本)9781467379397
In this paper, a classification method is proposed. The idea behind the classifier is the pre-calculation of fuzzy membership function values that are stored in fuzzy multidimensional arrays (so-called fuzzy hypermatrices) so their data can be accessed quickly run-time using the parameter values of the input data. This paper focuses on the 3 dimensional 2-class case in order to achieve rapid skin area identification based on pixel color using the images of a camera. A training algorithm is presented and the performance is illustrated by an image processing problem.
This paper presents the application of a robust extended Kalman filter (REKF) for an image processing problem in order to mitigate the effects of noise introduced during registration of geometrically warped anisoplana...
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ISBN:
(纸本)9781424453634
This paper presents the application of a robust extended Kalman filter (REKF) for an image processing problem in order to mitigate the effects of noise introduced during registration of geometrically warped anisoplanatic images. Emphasis is laid upon maintaining accuracy at the pixel-level. The perceived wander (random motion) of image intensities at the pixel level is modeled as a second-order oscillator, with a time-varying uncertain natural frequency. A robust extended Kalman filter (REKF) is used to estimate the state of the uncertain system and restore the pixel wander from a set of synthetically generated noisy measurements of registration shiftmaps. Also, a comparison of REKF and standard EKF estimation methods is presented.
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