Search for dissertations about: "noise wood"
Showing result 1 - 5 of 20 swedish dissertations containing the words noise wood.
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1. Wood Fingerprints : Recognition of Sawn Wood Products
Abstract : This thesis deals with wood fingerprints and presents ways to track sawn wood products through an industrial process using cameras. The possibility to identify individual wood products comes from the biological variation of the trees, where the genetic code, environment and breakdown process creates a unique appearance for every board. READ MORE
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2. Wood fingerprint recognition and detection of thin cracks
Abstract : The first part of this thesis deals with recognition of wood fingerprints extracted from timber surfaces. It presents different methods to track sawn wood products through an industrial process using cameras. READ MORE
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3. Acoustic excitation and transmission of lightweight structures
Abstract : In order to increase our knowledge of the sound transmission and radiation processes of lightweight wall and floor structures, theoretical models are needed. Detailed models may form a valuable tool. In lightweight floor structures, impact sound insulation is perhaps the most important property to consider. READ MORE
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4. On noise and hearing loss : Prevalence and reference data
Abstract : Noise exposure is one of the most prevalent causes of irreversible occupational disease in Sweden and in many other countries. In hearing conservation programs, aimed at preventing noise-induced hearing loss, audiometry is an important instrument to highlight the risks and to assess the effectiveness of the program. READ MORE
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5. Image segmentation using snakes and stochastic watershed : with applications to microscopy images of biological tissue
Abstract : The purpose of computerized image analysis is to extract meaningful information from digital images. To be able to find interesting regions or objects in the image, first, the image needs to be segmented. This thesis concentrates on two concepts that are used for image segmentation: the snake and the stochastic watershed. READ MORE