Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46503
Title: Image-based building silhouette extraction
Authors: Li, Jingya.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2012
Abstract: Recently multiple methods and techniques have been developed to solve image segmentation problems in different domains. One of the problems is to detect building from an common outdoor scene. Some methods have been developed to reach this goal using different properties of buildings, such as vertical edges and colour features. Our project is based on colour, texture, oriented pattern and homogenous properties to distinguish buildings from background. The project is to explore image segmentation of buildings and develop software to realize this goal. The software is able to retrieve the silhouette of the main building from a photo and to give the silhouette of the building. It is programmed using matlab. It is inspired by multiple research papers, such as JSEG, Semantic Class Segmentation using Oriented Pattern Analysis, and Maximum Similarity based Region Merging.
URI: http://hdl.handle.net/10356/46503
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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