An Extension to Hough Transform Based on Gradient Orientation
This is an incremental improvement for computer vision tasks requiring robust line detection.
The paper tackles the problem of line detection by extending the Hough transform to reduce clutter and enhance peak prominence, resulting in improved line identification for applications like visual quality inspection and rectangle detection.
The Hough transform is one of the most common methods for line detection. In this paper we propose a novel extension of the regular Hough transform. The proposed extension combines the extension of the accumulator space and the local gradient orientation resulting in clutter reduction and yielding more prominent peaks, thus enabling better line identification. We demonstrate benefits in applications such as visual quality inspection and rectangle detection.