Title :
Blind texture segmentation
Author :
Gagalowicz, Andre ; Graffigne, Christine
Author_Institution :
INRIA, Le Chesnay, France
Abstract :
The technique presented solves the problem of texture segmentation in two steps. In the first, a textured image is divided into small squares (20×20 in this case) and a hierarchical clustering algorithm related to a choice of ultrametric distances is used to obtain an initial segmentation. In the second step, the texture boundaries are improved using a recursive procedure with vertical and horizontal segments of smaller and smaller size, converging towards the correct texture boundaries
Keywords :
pattern recognition; picture processing; hierarchical clustering algorithm; pattern recognition; picture processing; recursive procedure; texture boundaries; texture segmentation; ultrametric distances; Error correction; Kernel; Pixel; Robustness; Solid modeling;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28169