Segmentation of 3D brain MR using an adaptive K-means clustering algorithm
MXH Yan, JS Karp - … of 1994 IEEE Nuclear Science Symposium …, 1994 - ieeexplore.ieee.org
An algorithm is described for segmenting 3D MR brain image into K different tissue types,
which include gray, white matter and CSF, and maybe other abnormal tissues. MR images …
which include gray, white matter and CSF, and maybe other abnormal tissues. MR images …
Dual graph contraction for irregular pyramids
D Willersinn, VG Kropatsch - Proceedings of the 12th IAPR …, 1994 - ieeexplore.ieee.org
A new algorithm for building irregular pyramids is presented. The algorithm is based on only
two basic operations on graphs, contraction and removal of edges. By making use of the …
two basic operations on graphs, contraction and removal of edges. By making use of the …
Fingerprint image compression by a natural clustering neural network
W Chang, HS Soliman, AH Sung - Proceedings of 1st …, 1994 - ieeexplore.ieee.org
A self-organizing neural network performing learning vector quantization (LVQ) is proposed
in this paper to compress image data in still pictures. The advantages of our model are its …
in this paper to compress image data in still pictures. The advantages of our model are its …
A vector quantization neural network to compress still monochromatic images
W Chang, HS Soliman, AH Sung - Proceedings of 1994 IEEE …, 1994 - ieeexplore.ieee.org
A self-organizing neural network performing learning vector quantization (LVQ) is proposed
to compress image data from still pictures. The advantages of the authors' model are its low …
to compress image data from still pictures. The advantages of the authors' model are its low …
[图书][B] Improved fuzzy clustering for pattern recognition with applications to image segmentation
AM Bensaid - 1994 - search.proquest.com
When pattern recognition algorithms are applied to image segmentation, the goal is to solve
a classification problem. However, they don't directly optimize classification quality. As a …
a classification problem. However, they don't directly optimize classification quality. As a …
Fuzzy curve pyramid
H Bischof, WG Kropatsch - Proceedings of 12th International …, 1994 - ieeexplore.ieee.org
This paper describes an extension of the binary curve pyramid to curves with strengths. In
particular we propose fuzzy relations to represent curve strength. We show how fuzzy …
particular we propose fuzzy relations to represent curve strength. We show how fuzzy …
[引用][C] The construction and analysis of a generic grouping algorithm
A Amir, M Lindenbaum - 1994 - Computer Science Department …