AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
In this research automatic road extraction were carried out. It is consist of road edge detection and road features recognition. The edge detection process was carried out with well known Canny edge detection, while the road feature recognition were using watershed analysis, pixel connectivity analy...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/7217 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In this research automatic road extraction were carried out. It is consist of road edge detection and road features recognition. The edge detection process was carried out with well known Canny edge detection, while the road feature recognition were using watershed analysis, pixel connectivity analysis and pixel neigbourhood analysis. Pre-processing procedure with image smoothing and Wavelet Transformation to reduce noises and texture variations which can be sources of edge etection error were done prior to Canny Edge Detection. In Wavelet transformation there are separation or decomposition which can be done repetitively in multi level that produces aproximation images in various resolution. The final goal is to investigate the link between road extraction result and the decomposition level to show how good the result of automatic road extraction process relate to decomposition level. |
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