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» Unsupervised Texture Segmentation
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WSCG
2003
181views more  WSCG 2003»
14 years 11 months ago
Wavelet Analysis for a New Multiresolution Model for Large-Scale Textured Terrains
Large terrain databases require a great number of polygons and textures. In consequence, transmission of terrain data over slow networks is still worrying. Multiresolution models ...
María José Abásolo, Francisco...
ICAPR
2005
Springer
15 years 3 months ago
Texture Exemplars for Defect Detection on Random Textures
We present a new approach to detecting defects in random textures which requires only very few defect free samples for unsupervised training. Each product image is divided into ove...
Xianghua Xie, Majid Mirmehdi
81
Voted
PR
2006
77views more  PR 2006»
14 years 9 months ago
Preserving boundaries for image texture segmentation using grey level co-occurring probabilities
Texture analysis has been used extensively in the computer-assisted interpretation of digital imagery. A popular texture feature extraction approach is the grey level co-occurrenc...
Rishi Jobanputra, David A. Clausi
85
Voted
ICPR
2000
IEEE
15 years 2 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
DAS
2010
Springer
14 years 8 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...