Actas de congresos
Detection Of Lines Using Hierarchical Region Based Representation
Registro en:
769522270
Brazilian Symposium Of Computer Graphic And Image Processing. , v. , n. , p. 58 - 64, 2004.
15301834
10.1109/SIBGRA.2004.1352943
2-s2.0-16244375506
Autor
Silva A.G.
Lotufo R.D.A.
Institución
Resumen
This paper suggests an hierarchical region based representation to implement detection of shapes in gray-scale images. The Max-Tree structure has demonstrated to be useful for this purpose, offering a semantic objects vision of the image, therefore, reducing the number of elements to process in relation to the pixel based representation. In this way, a particular thresholding information, associated with a specific shape analysis, can be used to determine the segmentation or filtering of regions of interest with lesser computational effort. For to demonstrate this technique, a generic application of detection of lines is proposed using the distance transform approach on each connected component from the depth searching in the mentioned tree. © 2004 IEEE.
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