Views provided by UsageCounts
doi: 10.1109/34.689304
handle: 11380/449691
The paper presents a new transform, called vector-gradient Hough transform, for identifying elongated shapes in gray-scale images. This goal is achieved not only by collecting information on the edges of the objects, but also by reconstructing their transversal profile of luminosity. The main features of the new approach are related to its vector space formulation and the associated capability of exploiting all the vector information of the luminosity gradient.
ING-INF/07 Misure elettriche e elettroniche, Hough transforms; feature extraction; object recognition, ING-INF/01 Elettronica, Hough transforms; feature extraction; object recognition; elongated shapes; gray-scale images; transversal luminosity profile; vector-gradient Hough transform
ING-INF/07 Misure elettriche e elettroniche, Hough transforms; feature extraction; object recognition, ING-INF/01 Elettronica, Hough transforms; feature extraction; object recognition; elongated shapes; gray-scale images; transversal luminosity profile; vector-gradient Hough transform
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 124 |

Views provided by UsageCounts