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CHEMOCHROMIC INDICATOR IN FORM OF SMART UNDERWEAR
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In today's climate there is an increasing requirement for protective textiles, whether for personal protection, protection against the elements, chemical, nuclear or ballistic attack. This comprehensive book brings together the leading protective textiles experts from around the world. It covers a wide variety of themes from materials and design, through protection against specific hazards, to specific applications. This is the first book of its kind to give a complete coverage of textiles for protection. Covers a wide variety of themes from materials and design, through protection against specific hazards, to specific applications. The first book of its kind to give a complete coverage of textiles for protection. Written by leading protective textiles experts from around the world.
The mean shift algorithm equipped with the intersection of confidence intervals (ICI) rule for image smoothing and segmentation is proposed. Firstly, the ICI rule for bandwidth selection in a multi-dimensional feature space is studied. In the ICI rule, the kernel function is used to estimate the probability density intervals of the pixel feature and find its bandwidth close to the optimal parameter. Secondly, the mean shift algorithm is used for image smoothing and segmentation with the bandwidth determined by the ICI rule. Experimental results show that the structures of the objects in images are preserved and over-segmentation caused by noises and texture can be eliminated effectively. In addition, a comparison between the smoothing results with adaptive bandwidths determined by the ICI rule and with fixed bandwidths is done. The results show that the proposed method is better in the field of image smoothing and segmentation.
Colorimetric identification of dangerous gas penetration through protective clothes via intelligent underwear
- M Vikova
VIKOVA, M. 2004. Colorimetric identification of dangerous gas penetration through protective
clothes via intelligent underwear, Quality Textiles For Quality Life, Vols. 1-4, pp. 772-774
ISBN 9781870372619.