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The paper presents an Image-based Method for Crack Analysis (IMCA) which is capable of processing a sequence of digital imagery to perform a twofold task: (i) the extraction of crack borders and the evaluation of its width across the longitudinal profile; (ii) the measurement of crack deformations (width, sliding and rotation).
For experimental purposes, we used the Component Manager implementation presented in Section 3.3 that controls a pipeline of software components for processing a sequence of video frames.
Usually, when processing a sequence of extended laser route images, it is necessary to detect 'bad' images, or those internal and external contours of which are most distorted by atmosphere, and exclude those from the route analysis.
When processing a sequence of extended laser route images, it will be more appropriate to use a normalizing equation for two adjacent image frames, where the first image is taken as the reference one.
This is optimal, since a lower bound for processing a sequence of size L is trivially Ω(L).
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In a digital signal processing system, a sequence of tokens might represent a sequence of samples of a speech signal or a sequence of frames in a video sequence.
Two novel algorithms for estimating the motion characteristics of the object in dynamic scene by processing a limited sequence of images are presented in this paper.
Consider the processing of a sequence of task relevant stimuli against a background of noise in the form of changing distractors.
For quality classification and processing of a sequence of extended laser route spot images, a threshold criterion was introduced.
For the quality classification and processing of a sequence of extended laser route frames, this threshold criterion may be used in 'tighter' limits (9): 0, 8 ≤ χ ≤ 1 (9).
As a simple example, consider a periodic pattern (langle emptyset TV), (U), (1), (3), (7rangle ) where processing of a sequence of syntax trees (emptyset TV) starts in the time units 1, 4, and 7.
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