Communications

Download Image Processing and Communications Challenges 5 by Dorota Oszutowska-Mazurek, Przemysław Mazurek, Kinga Sycz, PDF

By Dorota Oszutowska-Mazurek, Przemysław Mazurek, Kinga Sycz, Grażyna Waker-Wójciuk (auth.), Ryszard S. Choras (eds.)

This textbook collects a chain of analysis papers within the sector of snapshot Processing and Communications which not just introduce a precis of present expertise but additionally provide an outlook of capability function difficulties during this area.

The key target of the ebook is to supply a set of accomplished references on a few contemporary theoretical improvement in addition to novel purposes in snapshot processing and communications.

The publication is split into elements. half I offers with picture processing. A accomplished survey of other tools of photograph processing, desktop imaginative and prescient can also be offered. half II bargains with the telecommunications networks and laptop networks. functions in those parts are considered.

In end, the edited booklet contains papers on varied facets of photo processing and communications platforms. There are theoretical features in addition to program papers.

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Extra resources for Image Processing and Communications Challenges 5

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In particular, the first row presents the referential results of manual CSF segmentation compared to the input image (series: ground truth). This is followed by the results of image segmentation applied to the original low-dose CT images (series: low ). Finally, the last row presents results of CSF segmentation from the enhanced images (series: enhanced ). For image segmentation, the min-cut/max-flow approach was applied, as described in our previous work [5]. The corresponding results of the numerical assessment of image segmentation accuracy are given in Table 1.

A= P = tp tp + f p (6) R= tp tp + f n (7) tp + tn tp + tn + f p + f n (8) PR (9) P +R where tp is a number of true positives, tn is a number of true negatives, f p is a number of false positives and f n is a number of false negatives. For a perfect segmentation, all these measures should be equal 1. Low precision P indicates over-segmentation, low recall R means under-segmentation and a significant object data loss. F-Score is an indicator of total segmentation quality. Visual results of image segmentation applied to the original (low-dose) and the enhanced CT images are presented in Figure 5.

MRI or PET)[1]. However, computed tomography requires the highest radiation doses over other procedures. Additionally, the collective dose is still rising due to wide availability and increasing resolution of multislice CT scanners. As a result, the radioactive exposure that some patients are receiving is recently so high, that causes definitive risks to health. One of the steps to minimize this risk is using low-dose protocols for CT imaging. e. As Low As Reasonably Achievable) is applied. Low-dose CT imaging is now becoming a standard in diagnosis in children which often undergo multiple follow-up scanning at short time intervals.

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