Study on 3-D Visualization of Underwater Illuminance Estimation Method

  • 劉 玉麒

Student thesis: Master's Thesis


Image illuminance measuring technology increasingly applies in scientific research on underwater optics Based on the digital image processing principal component analysis (PCA) and regression analysis a novel 3-D visualization illuminance estimation method could improve underwater illuminance measurement technology examined in this study First the study defines the underwater experimental environment and uses commercial underwater LED then captures an image of the illuminated area by a CCD Second digital images are processed and three image key factors obtained The study substitutes these three key factors into principal component analysis to reduce the variable dimension and the principal component value obtained Moreover the study positions an illuminance meter manually to complete the array measurement of the illuminated area Finally the study conducts regression analysis to determine the relationship between principal component and illuminance The experimental results indicate that the similarity between the estimated and measured values can reach 97% which calculated by NCC and there has the ability to analyze different light types and distances by this system; therefore compared with traditional methods adopting the new method reduces the measurement time to a few seconds and enhanced measurement efficiency Thus using the 3-D visualization illuminance estimation method enables users to easily measure and capture the environmental illuminance thereby enhancing the availability of such information
Date of Award2014 Aug 19
Original languageEnglish
SupervisorHeiu-Jou Shaw (Supervisor)

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