A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automatic Design Line Detection in Urban Building Images through DCT
The conversion of urban building images into design lines is a valuable technique used in architecture. It aids in the analysis of design styles and building components. Recent studies have shown a significant interest in using computational methods to examine the design lines in architectural images, such as plans, facades, and streetscapes. This research presents an automated approach that utilizes kernel filters to extract edges and reduce noise from various architectural images. Additionally, it introduces a new filter that separates lines based on their directions utilizing the Discrete Cosine Transform (DCT). The proposed technique generates distinct images that display the vertical, horizontal, and curved lines extracted from the original images. The results demonstrate that the proposed technique is efficient not only with architectural drawings but also with photographs of existing buildings. This technique opens the door for further experimentation in artificial intelligence, computational aesthetics, image rectification and calibration, and 3D building reconstruction.
Automatic Design Line Detection in Urban Building Images through DCT
The conversion of urban building images into design lines is a valuable technique used in architecture. It aids in the analysis of design styles and building components. Recent studies have shown a significant interest in using computational methods to examine the design lines in architectural images, such as plans, facades, and streetscapes. This research presents an automated approach that utilizes kernel filters to extract edges and reduce noise from various architectural images. Additionally, it introduces a new filter that separates lines based on their directions utilizing the Discrete Cosine Transform (DCT). The proposed technique generates distinct images that display the vertical, horizontal, and curved lines extracted from the original images. The results demonstrate that the proposed technique is efficient not only with architectural drawings but also with photographs of existing buildings. This technique opens the door for further experimentation in artificial intelligence, computational aesthetics, image rectification and calibration, and 3D building reconstruction.
Automatic Design Line Detection in Urban Building Images through DCT
Lina Davud (author) / Selin Yildiz (author)
2024
Article (Journal)
Electronic Resource
Unknown
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