%0 Journal Article %A Low Khong Teck and Hasan S. M. Al-Khaffaf and Abdullah Zawawi Talib and Tan Kian Lam %D 2008 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 21, 2008 %T Extended Study on Removing Gaussian Noise in Mechanical Engineering Drawing Images using Median Filters %U https://publications.waset.org/pdf/2169 %V 21 %X In this paper, an extended study is performed on the effect of different factors on the quality of vector data based on a previous study. In the noise factor, one kind of noise that appears in document images namely Gaussian noise is studied while the previous study involved only salt-and-pepper noise. High and low levels of noise are studied. For the noise cleaning methods, algorithms that were not covered in the previous study are used namely Median filters and its variants. For the vectorization factor, one of the best available commercial raster to vector software namely VPstudio is used to convert raster images into vector format. The performance of line detection will be judged based on objective performance evaluation method. The output of the performance evaluation is then analyzed statistically to highlight the factors that affect vector quality. %P 2994 - 2997