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Therefore, we combined the advantages of multicore CPUs, GPUs, and FPGAs to build a heterogeneous image processing pipeline for adaptive optical systems by presenting new architectures and algorithms.
Heterogeneous image fusion is a technique of fusing images captured by different sensors into one image, then the fused image will present more information than the original images.
Since heterogeneous image object and nonlinear variation exist in color texture image, it is not appropriate to use one single/multiple constant in the Chan and Vese (CV) model to describe each phase [1,2].
Such a policy, based on the concepts of the Derman Lieberman Ross theorem, is proposed in this work, and is applied to a simulated model of a dedicated system composed of a set of heterogeneous image processing servers.
Consequently, the overall picture is a heterogeneous image, changing over time, which well reflects the constant and fervent work of the Regions, unceasing and still ongoing, so it is not easy to order such a miscellany.
Joint analysis of the noisy image in Figure 5a and the binary map in Figure 5d allows concluding that the largest local degradations of visual quality take place in heterogeneous image regions (edge/detail neighborhoods, high contrast textures).
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The multiplication of satellites which embed different types of sensors provides a lot of heterogeneous images.
In their paper, "Multisource images analysis using collaborative clustering," G. Forestier et al. propose a collaborative system for image clustering by obtaining a consensus among several clusterings that exploit heterogeneous images.
However, one of their common defects is treating all images as equal, thus ignoring the variability of statistical properties of different images, which motivates us to propose a novel steganalysis framework based on Gaussian mixture model (GMM) clustering in the study, targeting at heterogeneous images with different texture complexity.
Simultaneously, the absorbance distribution widened as a result of more heterogeneous images.
The study may benefit from an increased number of heterogeneous images from more HCC cases, as the nature of ANNs is to evolve with an increased training dataset.
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