PT Unknown
AU Susana Alvarez
   Anna Salvatella
   Maria Vanrell
   Xavier Otazu
TI 3D Texton Spaces for color-texture retrieval
BT 7th International Conference on Image Analysis and Recognition
PY 2010
BP 354–363
VL 6111
DI 10.1007/978-3-642-13772-3_36
AB Color and texture are visual cues of different nature, their integration in an useful visual descriptor is not an easy problem. One way to combine both features is to compute spatial texture descriptors independently on each color channel. Another way is to do the integration at the descriptor level. In this case the problem of normalizing both cues arises. In this paper we solve the latest problem by fusing color and texture through distances in texton spaces. Textons are the attributes of image blobs and they are responsible for texture discrimination as defined in Julesz’s Texton theory. We describe them in two low-dimensional and uniform spaces, namely, shape and color. The dissimilarity between color texture images is computed by combining the distances in these two spaces. Following this approach, we propose our TCD descriptor which outperforms current state of art methods in the two different approaches mentioned above, early combination with LBP and late combination with MPEG-7. This is done on an image retrieval experiment over a highly diverse texture dataset from Corel.
ER