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» Supervised Texture Detection in Images
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CVPR
1998
IEEE
14 years 12 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
IEEEHPCS
2010
13 years 8 months ago
Texture feature representation in dynamic environments
This paper presents a novel approach to detect and formulate time varying changes in texture content on a sequence of images registered from a scene by using Gabor wavelets repres...
Kyeong Deok Woo, Sung Gook Kim, Sung Wook Baik
ICCV
2005
IEEE
14 years 3 months ago
Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning
Object detection in aerial imagery has been well studied in computer vision for years. However, given the complexity of large variations of the appearance of the object and the ba...
Jian Yao, Zhongfei (Mark) Zhang
CBMS
2008
IEEE
14 years 4 months ago
Thyroid Texture Representation via Noise Resistant Image Features
The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, de...
Eystratios G. Keramidas, Dimitrios K. Iakovidis, D...
MICCAI
2009
Springer
14 years 11 months ago
A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting
Abstract. We present a method for automatically segmenting skin lesions by initializing the random walker algorithm with seed points whose properties, such as colour and texture, h...
Paul Wighton, Maryam Sadeghi, Tim K. Lee, M. St...