Corrosion behaviors of the precursor glass (ZBLAN) of fluoride fibers in solutions of different pH values are studied. After seven d of corrosion, the infrared transmittance of ZBLAN decreases to almost 0 in acidic and neutral environments. However, there is no significant loss of transmittance in an alkaline environment. Similarly, the surfaces of the samples in acidic or neutral environments are severely corroded, whereas in alkaline environments, they are slightly corroded. In addition, it is found that samples corroded in neutral water have a complete crystallization phenomenon, wherein complex crystal phases emerged. However, no characteristic peaks of the crystal phase are observed in the samples corroded in the acidic and alkaline environments. The corrosion mechanism is investigated based on the change in the concentration of ZBLAN constituent elements in the solution via inductively coupled plasma (ICP) emission spectrometry.
Generally, the fused image shows fully the actual situation of the scene and contains more detailed information. However, most fusion methods miss the details of the fusion image and confuses the contrast of the raw scene. To solve this problem, we propose a fusion algorithm based on non-subsampled shearlet transform (NSST) that particularly pays attention to the influence of light intensity when calculating the fusion coefficient. The method first decomposes the input images into high- and low-frequency coefficients through NSST. Then regarding the high-frequency coefficients, we calculate the phase consistency (PC) of the decomposed images, and the results are combined with the adaptive simplified pulse coupled neural network (SPCNN) to compose parameter. Meanwhile, for the low-frequency coefficient, the optimal brightness entropy (OBE) of the input images is obtained as the fusion basis. The next step is to fuse the high- and low-frequency sub-band coefficients by the designed fusion rule, and obtain final image through NSST inverse transformation. Experiments show that our method not only keeps well the image details and maintains the overall image luminance while taking care of the overall effect of the image, but also gets a leading position in some evaluation indicators.
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