Automatic Design Line Detection in Urban Building Images through DCT

Abstract

The conversion of urban building images into design lines is a valuable technique used in architecture. It aids in theanalysis of design styles and building components. Recent studies have shown a significant interest in usingcomputational 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 fromvarious architectural images. Additionally, it introduces a new filter that separates lines based on their directionsutilizing the Discrete Cosine Transform (DCT). The proposed technique generates distinct images that display thevertical, horizontal, and curved lines extracted from the original images. The results demonstrate that the proposedtechnique is efficient not only with architectural drawings but also with photographs of existing buildings. Thistechnique opens the door for further experimentation in artificial intelligence, computational aesthetics, imagerectification and calibration, and 3D building reconstruction.