AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)

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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Main Author: SUPRAYOGI (NIM : 25105006), ANDRI
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/7217
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:7217
spelling id-itb.:72172017-10-09T10:15:53ZAUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING) SUPRAYOGI (NIM : 25105006), ANDRI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/7217 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. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description 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.
format Theses
author SUPRAYOGI (NIM : 25105006), ANDRI
spellingShingle SUPRAYOGI (NIM : 25105006), ANDRI
AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
author_facet SUPRAYOGI (NIM : 25105006), ANDRI
author_sort SUPRAYOGI (NIM : 25105006), ANDRI
title AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
title_short AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
title_full AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
title_fullStr AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
title_full_unstemmed AUTOMATIC ROAD EXTRACTION USING CANNY EDGE DETECTION FROM AERIAL IMAGES (WITH WAVELET TRANSFORM FOR IMAGE SMOOTHING)
title_sort automatic road extraction using canny edge detection from aerial images (with wavelet transform for image smoothing)
url https://digilib.itb.ac.id/gdl/view/7217
_version_ 1820664088873664512

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