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» A Segmentation Algorithm for Noisy Images
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JMIV
2002
74views more  JMIV 2002»
15 years 3 months ago
A Filter To Remove Gaussian Noise by Clustering the Gray Scale
An algorithm to suppress Gaussian noise is presented, based on clustering (grouping) gray levels. The histogram of a window sliding across the image is divided into clusters, and t...
Zakaria Atae-Allah, José-Martínez Ar...
122
Voted
ANLP
1994
134views more  ANLP 1994»
15 years 5 months ago
Degraded Text Recognition Using Word Collocation and Visual Inter-Word Constraints
Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word collo...
Tao Hong, Jonathan J. Hull
CVPR
2005
IEEE
16 years 5 months ago
MosaicShape: Stochastic Region Grouping with Shape Prior
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
Jingbin Wang, Erdan Gu, Margrit Betke
152
Voted
ICBA
2004
Springer
144views Biometrics» more  ICBA 2004»
15 years 9 months ago
Improving Iris Recognition Accuracy via Cascaded Classifiers
As a reliable approach to human identification, iris recognition has received increasing attention in recent years. In the literature of iris recognition, local feature of image de...
Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui
CVPR
2007
IEEE
16 years 5 months ago
Image Matching via Saliency Region Correspondences
We introduce the notion of co-saliency for image matching. Our matching algorithm combines the discriminative power of feature correspondences with the descriptive power of matchi...
Alexander Toshev, Jianbo Shi, Kostas Daniilidis