Adaptive thresholding skin lesion segmentation with gabor filters and principal component analysis

4th International Conference on Research in Intelligent and Computing in Engineering, RICE 2019 -- 8 August 2019 through 9 August 2019 -- -- 239099In this article, we study and propose an adaptive thresholding segmentation method for dermoscopic images with Gabor filters and Principal Component Analysis. The Gabor filters is used for extracting statistical features of image and the Principal Component Analysis is applied for transforming features to various bases. In experiments, we implement tests with the ISIC dataset. Segmentation results are assessed by the Dice and the Jaccard similarities. We also compare the proposed method to other similar methods to prove its own effectiveness. © Springer Nature Singapore Pte Ltd. 2020

Decolorization of mixture of dyes: A critical review

Water plays a vital and essential role in our ecosystem. This natural resource is becoming scarce, making its availability a major social and economic concern. Use of a large variety of synthetic dyes in textile industries has raised an hazardous environmental alert. About 17 - 20% of freshwater pollution is caused by textile effluents. These effluents are recalcitrant to biodegradation and cause acute toxicity to the receiving water bodies, as these comprised of various types of toxic dyes, which are difficult to remove. Decolorisation of textile wastewater is therefore important before releasing it into the nearby local waterways. It therefore becomes essential to degrade the toxic chemicals of textile wastewater, so as to avoid the hazardous environmental effects. Several treatment methods have been employed to embark upon the problem of dye removal but degradation becomes further more difficult for effluents containing dye matrix.  The review study has been an attempt to present the different diversified attempts used for decolorisation of a mixture of dyes

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Not AvailableThe current investigation was carried out to study the phytolith occluded carbon (PhytOC) sequestration potential of 15 rice cultivars. The dry matter yield of cultivars varied from 62 to 115 g pot-1 . Phytolith content and carbon content of phytoliths varied from 12.46 to 23.6 % and 1.4 to 3.3 % for straw; 5.5 to 11.4 % and 1.1 to 2.7 % for root; 13.1 to 24.3 % and 2.1 to 6.3 % for husk; 0.2 to 1.9 % and 0.7 to 1.4 % for grain. The distribution of PhytOC was highest in straw followed by husk, root and grains, respectively. The total PhytOC yield of cultivars was between 66.6 and 143 g e-CO2 pot-1 . Preference of high PhytOC yielding cultivar over low PhytOC yielding cultivar for rice production, results in 76.4 g e-CO2 pot-1 of additional C securely sequestered in phytoliths of rice, would substantially increase the bio-sequestration of terrestrial carbon.Not Availabl

Not Available

Not AvailableThe current investigation was carried out to study the phytolith occluded carbon (PhytOC) sequestration potential of 15 rice cultivars. The dry matter yield of cultivars varied from 62 to 115 g pot-1. Phytolith content and carbon content of phytoliths varied from 12.46 to 23.6 % and 1.4 to 3.3 % for straw; 5.5 to 11.4 % and 1.1 to 2.7 % for root; 13.1 to 24.3 % and 2.1 to 6.3 % for husk; 0.2 to 1.9 % and 0.7 to 1.4 % for grain. The distribution of PhytOC was highest in straw followed by husk, root and grains, respectively. The total PhytOC yield of cultivars was between 66.6 and 143 g e-CO2 pot-1. Preference of high PhytOC yielding cultivar over low PhytOC yielding cultivar for rice production, results in 76.4 g e-CO2 pot-1 of additional C securely sequestered in phytoliths of rice, would substantially increase the bio-sequestration of terrestrial carbon.Not Availabl