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» Detecting Illumination in Images
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VIP
2003
15 years 8 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ICIP
2004
IEEE
16 years 8 months ago
Estimating the phase congruency of localised frequencies
Phase congruency is a new method for detecting features in images. One of its significant strengths is its invariance to lighting variation within an image, as well as being able ...
Peter Myerscough, Mark S. Nixon
ISBI
2008
IEEE
16 years 7 months ago
A quantification framework for post-lesion neo-vascularization in retinal angiography
We describe an image processing framework designed to detect and quantify the genesis of microscopic choroidal blood vessels. We used fluorescein angiography to monitor the dynami...
Sylvain Takerkart, Romain Fenouil, Jérome P...
VISUALIZATION
2003
IEEE
16 years 4 days ago
Clifford Convolution And Pattern Matching On Vector Fields
The goal of this paper is to transfer image processing to vector fields and flow visualization by defining a suitable convolution operation. For this, a multiplication of vecto...
Julia Ebling, Gerik Scheuermann
172
Voted
DRR
2008
15 years 8 months ago
Whole-book recognition using mutual-entropy-driven model adaptation
We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given imag...
Pingping Xiu, Henry S. Baird