Abstract: An alternative approach for data analysis of optical emission spectroscopy was developed to overcome the dilemma of the low emission intensities and high sensitivity of the reconstruction on small errors of the line intensities. This work comprises of data analysis of an experimental dc reactive magnetron sputtering of titanium dioxide. The purposed method was based on several works and aimed to provide accuracy improvement of the method commonly employed in commercial systems. The wavelength calibration can be carried with the ease and without having to write calibration coefficients on the EEPROM. More accurate peak finding was obtained by coupling spectroscopic raw data processing with a Lorentzian line broadening and recognizing technique. The results are displayed with the advantages of the purposed method.

• Publication Date: 27-Nov-2016
• DOI: 10.15224/978-1-63248-109-2-20
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Abstract: Digital video now plays an important role in entertainment, education, and other multimedia applications. Artificial text in video is normally generated in order to complement or encapsulate the visual content and thus is an important transporter of information that is highly significant to the content of the video. Problem arises when the content of video getting more in time and user facing the struggle to search and edit the desired information. The user cannot get or copy the artificial text directly from video but need to retype the text content in the video. This will consumes a lot of times and work. The main objective of this project is to extract the artificial text in Chinese Simplified and English appear in video and save it into word format. This paper proposed an effective and efficient caption extraction from video. Proposed methods which comprised of video segmentation, image de-nosing, image segmentation and optical character recognition (OCR) are used to extract artifi

• Publication Date: 27-Nov-2016
• DOI: 10.15224/978-1-63248-109-2-22
• Views: 0
• Downloads: 0