.png){kind=icon}
.png){kind=icon}
Return
A window-based inverse Hough transform
.png){kind=icon}
PRE
AI
DOI：10.1016/S0031-3203(99)00167-3.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper a new Hough transform inversion technique is proposed. It is a window-based inverse Hough transform algorithm, which reconstructs the original image using only the data of the Hough space and the dimensions of the image. In order to minimize memory and computing requirements, the original image is split into windows. Thus, the algorithm can be used to large-size images as a general purpose tool. In this paper, the proposed technique is applied for edge extraction and filtering. The edges are detected not just as continuous straight lines but as they really appear in the original image, i.e. pixel by pixel. Experimental results indicate that the method is robust, accurate and fast. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Keywords:
inverse Hough Transform
edge extraction
line detection
non-linear filtering
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
No organization information available