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ICIP
2007
IEEE
14 years 6 months ago
Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
This paper discusses how to utilize both magnitude and phase information obtained from the complex directional lter bank (CDFB) for the purpose of texture image retrieval. The rel...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
ISCAS
2006
IEEE
222views Hardware» more  ISCAS 2006»
13 years 11 months ago
Texture image retrieval using complex directional filter bank
— In this paper, the shift-invariant complex directional filter bank (CDFB) is proposed for texture image retrieval. By combining the Laplacian pyramid and the CDFB, a new image...
An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
TSP
2008
119views more  TSP 2008»
13 years 4 months ago
The Shiftable Complex Directional Pyramid - Part II: Implementation and Applications
In Part I ["The shiftable complex directional pyramid--Part I: Theoretical Aspects," IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 56, no. 10, October 2008], we proposed a...
Truong T. Nguyen, Soontorn Oraintara
ICPR
2006
IEEE
14 years 6 months ago
Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices
Though millions of images are stored in a large digital image library today, the user can not access or make full use of these image information unless the digital image library i...
Patrick Shen-Pei Wang, Xinge You, Yuan Yan Tang, Y...
ICPR
2006
IEEE
14 years 6 months ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das