Extended study on cleaning gaussian noise in mechanical engineering drawing images using median filter and its variants

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dc.contributor.authorKhong Teck, Low
dc.date.accessioned2015-09-14T03:57:22Z
dc.date.available2015-09-14T03:57:22Z
dc.date.issued2008-06
dc.description.abstractVectorization is a process that converts a raster image into a corresponding vector image. The quality of the detected vectors is based on how accurate the attributes of the lines in the raster image were recognized by the vectorization methods. The detected vectors may have some distortions due to many operations that have been operated upon the raster images. Among the operations that may affect the quality of the detected vector are the amount of noise, the noise cleaning method, and the vectorization software used. In this research, we perform an extended study on the effect of different factors on the quality of vector data based on a previous study. In the noise factor, we will study one kind of noise that appears in document images namely Gaussian noise while the previous study involves only salt-andpepper noise. High and low levels of noise are studied. For the noise cleaning methods, we use algorithms that were not covered in the previous study 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 analysed statistically to highlight the factors that affect vector quality.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1184
dc.language.isoenen_US
dc.subjectCleaning gaussian noiseen_US
dc.subjectMechanical engineering drawing imagesen_US
dc.subjectMedian filteren_US
dc.titleExtended study on cleaning gaussian noise in mechanical engineering drawing images using median filter and its variantsen_US
dc.typeThesisen_US
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