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» A Fast Optimization Method for Level Set Segmentation
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120
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ICDAR
2005
IEEE
15 years 8 months ago
Fast Vector Matching Methods and Their Applications to Handwriting Recognition
A common practice in pattern recognition is to classify an unknown object by matching its feature vector with all the feature vectors stored in a database. When the number of clas...
Ying-Ho Liu, Wen-Hsiung Lin, Fu Chang, Chin-Chin L...
141
Voted
ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
15 years 8 months ago
Supervised Multispectral Image Segmentation using Active Contours
— Active contours have been widely used as image segmentation methods. The use of level set theory has provided more flexibility and convenience for the implementation of active...
Cheolha Pedro Lee, Wesley E. Snyder, Cliff Wang
112
Voted
MICCAI
2005
Springer
16 years 3 months ago
Two Methods for Validating Brain Tissue Classifiers
In this paper, we present an evaluation of seven automatic brain tissue classifiers based on level of agreements. A number of agreement measures are explained, and we show how they...
Marcos Martín-Fernández, Sylvain Bou...
ECCV
2010
Springer
15 years 7 months ago
ClassCut for Unsupervised Class Segmentation
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
126
Voted
GECCO
2000
Springer
106views Optimization» more  GECCO 2000»
15 years 6 months ago
A Genetic Segmentation Algorithm for Image Data Streams and Video
We describe a genetic segmentation algorithm for image data streams and video. This algorithm operates on segments of a string representation. It is similar to both classical gene...
Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, ...