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In this section, we briefly describe the segmentation method and give some details about normalization and image enhancement modules.
Finally, we present the global method and give some implementation figures from a smart camera case study.
3, we present the smoothing modified three-term conjugate gradient method and give the convergence analysis of it.
As a result of this, the smallest noise can ruin this method and give a false positive.
In Section 4, we describe the proposed EMD-based feature post-processing method and give a few illustrative examples.
Finally, computational experiments are conducted to validate the performance of the proposed method and give some managerial implications.
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The first one is based on Galerkin method, and gives a priori estimate.
Section 3 presents the proposed super-resolution method and gives its implementation details.
Thus, this paper primarily sketches out the method and gives first examples how to use it.
The paper describes the method and gives examples of its application for some existing r.c.
The proposed scheme is compared with ANN-based method and gives faster response and better reliability for fault classification.
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