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» A Segmentation Algorithm for Noisy Images
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APIN
2007
172views more  APIN 2007»
15 years 3 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...
120
Voted
MICCAI
2009
Springer
16 years 4 months ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...
BMVC
2000
15 years 5 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin
158
Voted
AVSS
2005
IEEE
15 years 9 months ago
Wavelet packets and co-occurrence matrices for texture-based image segmentation
In this paper, a texture-based segmentation approach using wavelet packets, co-occurrence matrices and normalised modified histogram thresholding is discussed and developed. Back...
Marc Bartels, Hong Wei, David C. Mason
126
Voted
ECCV
2006
Springer
16 years 5 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss