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ICIAP
2001
Springer
13 years 9 months ago
Neural Network Analysis of MINERVA Scene Analysis Benchmark
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in th...
Markos Markou, Sameer Singh, Mona Sharma
DICTA
2007
13 years 6 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda
VCIP
2003
238views Communications» more  VCIP 2003»
13 years 5 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou
ICPR
2002
IEEE
13 years 9 months ago
Invariant Texture Segmentation Via Circular Gabor Filters
In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional...
Jianguo Zhang, Tieniu Tan, Li Ma
CVPR
1999
IEEE
14 years 6 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann