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Figure 2 | EURASIP Journal on Advances in Signal Processing

Figure 2

From: Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context

Figure 2

Unsupervised segmentation of multisensor noisy image 2. (a) Original class image X = x. (b) First sensor observed image Y1 = y1. (c) Second sensor observed image Y2 = y2. (d) Image restoration using K-Means, error ratio τK-Means = 30.9%. (e) Image MPM restoration using HMCs, error ratio τHMC = 16.4%. (f) Image MPM restoration using evidential HMCs, error ratio τEHMC = 15.9%. (g) MPM estimation of the auxiliary process U1 according to evidential HMCs. (h) Image MPM restoration using multisensor stationary HMCs, error ratio τMS-HMC = 9.1%. (i) Estimation of the underlying U2 process according to multisensor stationary HMCs, error ratio τMS-HMC ≈ 0%. (j) Image MPM restoration using multisensor nonstationary HMCs, error ratio τMN-HMC = 7.6%. (k) MPM estimation of the auxiliary process U1 according to multisensor nonstationary HMCs. (l) Estimation of the underlying U2 process according to multisensor nonstationary HMCs, error ratio τMN-HMC ≈ 0%.

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