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» Image Segmentation - A Survey of Soft Computing Approaches
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MICCAI
2010
Springer
15 years 4 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...
ICPR
2008
IEEE
16 years 21 days ago
Probabilistic matching of line segments for their homography
Finding correspondences of two images taken from largely different camera configuration is a challenging problem because appearance information such as color, intensity and edge o...
Jihwan Woo, Taemin Kim, In-So Kweon
MIAR
2010
IEEE
15 years 4 months ago
DTI Connectivity by Segmentation
Abstract. This paper proposes a new method to compute connectivity information from diffusion weighted images. It is inspired by graphbased approaches to connectivity definition,...
Marc Niethammer, Alexis Boucharin, Christopher Zac...

Source Code
2231views
16 years 12 months ago
The Berkeley Segmentation Engine (BSE)
The code is a (good, in my opinion) implementation of a segmentation engine based on normalised cuts (a spectral clustering algorithm) and a pixel affinity matrix calculation algor...
Charless Fowlkes
MICCAI
2009
Springer
16 years 1 months ago
Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images
Early detection of Ground Glass Nodule (GGN) in lung Computed Tomography (CT) images is important for lung cancer prognosis. Due to its indistinct boundaries, manual detection and ...
Yimo Tao, Le Lu, Maneesh Dewan, Albert Y. Chen, Ja...