Because of the speciality of the underwater channel and the complexity of imaging environment, the uncertain factors in underwater image produce serious impact on image segmentation and target identification. It proposes a fuzzy pattern recognition approach for underwater image based on fractal features,and realizes reliable target classification in underwater image.
TEM images revealed that a carbon encapsulated core/shell structure was formed in the composites, which could ensure good dispersion of carbon nanoparticles within the PMMA matrix.
The shape, particle size of about 100-850 nm and hole size of about 150-600 nm of ZnS hollow nanospheres with holes were shown by SEM and TEM images.
UV-vis absorption spectrum and atomic force microscope (AFM) images indicated that the change of concentration and post-treatment temperature may adjust the band-gap of CdS to obtain stable, homogeneous and compact films.
The experiment of edge detection is made for the images of nature scenery, human body and accumulative raw material, whose result is compared with the one of classical algorithms and showing the robustness of the proposed method.
Flexible matching, which aims to find the accurate correspondence map between the key points of two images, is performed by combining the local similarities and the geometric relations together using the highest confidence first method.
Then,SL(2, ?)-harmonic analysis, in the noncompact picture of induced representations, is used to decompose patterns into the components invariant under irreducible representations of the principal series ofSL(2, ?).
Thus, a picture of the lower bounds on the maximum genus of loopless multigraphs is presented.
Compared to joint picture expert group 2000 (JPEG2000) upscaling method, the effect of intensive interference area is also improved 0.29-0.38 dB in PSNR.
Methods of computer vision, image processing and wavelet analysis technology were used to compress, filter, segment, abate noise and capture the outline of the picture.
Finally, we will give a physical mechanism of the dressed-state picture for the strong coupling between the single mode of an optical microcavity and the QD emitters to explain the details of the emission photon spectra.