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EN
This paper presents an application of the Hough Transform to the tasks of learning and identifying irregular patterns in a computer vision system. The method presented is based on the Hough Transform with a parameter space defined by translation, rotation and scaling operations. A fundamental element of this method is the generalisation of the Hough Transform for grey-level and colour images. The technique may be used in a robotic system, identification system or for image analysis.
EN
This paper presents an application of the Hough Transform to fingerprint and iris identification within computer vision systems. The presented method is based on the Hough Transform for irregular objects, with a parameter space defined by translation, rotation and scaling operations. The technique may be used in an identification system or for image analysis, directly on grey-level or colour images.
3
Content available remote Irregular pattern recognition using the Hough transform
EN
The paper presents an application of the Hough Transform to the tasks of learning and identifying irregular patterns in computer vision systems. The method presented is based on the Hough Transform with a parameter space defined by translation, rotation and scaling operations. An essential element of this method is the generalisation of the Hough Transform for grey-level images. The technique simplifies application of the Hough Transform to pattern recognition tasks as well as accelerates the calculations considerably. The technique could be used, for example, in a robotic system or for image analysis.
EN
The paper presents the problem of segmenting digital images. The presented method is based on the circle Hough transform. A fundamental element of this method is the clustering technique. The technique simplifies the application of Hough transform to segmentation tasks as well as accelerates the calculations considerably.
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