Multi-Scale Blur Estimation and Edge Type Classification for Scene Analysis
International Journal of Computer Vision
An edge preserving noise smoothing technique using multiscale morphology
Signal Processing
An improvement of ship wake detection based on the radon transform
Signal Processing
A new approach to building identification from very-high-spatial-resolution images
International Journal of Remote Sensing
Radon transform and forstner operator applying in buildings contour extraction
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
A model of the effect of image motion in the Radon transform domain
IEEE Transactions on Image Processing
Accurate Centerline Detection and Line Width Estimation of Thick Lines Using the Radon Transform
IEEE Transactions on Image Processing
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This paper presents a new method to detect and accurately locate a rectangular form object in any given image. In order to find the right coordinates of those objects in the image, we develop the Generalized Multi Directional Discrete Radon Transform (GMDRT). The GMDRT can detect any given shape whatever its form and orientation are. Experimental results on high resolution QuickBird image to extract rectangular buildings form show the efficiency of our method.