Results 241 to 250 of about 366,438 (285)

Scale-space approximated convolutional neural networks for retinal vessel segmentation

Computer Methods and Programs in Biomedicine, 2019
Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation methods using deep learning have been proposed, they are mostly based on common CNN structures developed for other tasks such as ...
Kyoung Jin, Noh, Sang Jun, Park, Soochahn, Lee   +2 more
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Localization Scale Selection for Scale-Space Segmentation

2005
In this work the relation between scale-space image segmentation and selection of the localization scale is examined first, and a scale selection approach is consequently proposed in the segmentation context. Considering the segmentation part, gradient watersheds are applied to the non-linear scale-space domain followed by a grouping operation.
Sokratis Makrogiannis, Nikolaos Bourbakis   +1 more
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Fast Mumford-Shah segmentation using image scale space bases

SPIE Proceedings, 2007
Image segmentation using the piecewise smooth variational model proposed by Mumford and Shah is both robust and computationally expensive. Fortunately, both the intermediate segmentations computed in the process of the evolution, and the final segmentation itself have a common structure.
Christopher V. Alvino, Anthony J. Yezzi
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Hierarchical segmentation using latent semantic indexing in scale space

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
This paper describes a new algorithm which discovers the hierarchical organization of a document or media presentation. We use latent semantic indexing to describe the semantic content of the signal, and scale-space segmentation to describe its features at many different scales. We present results from a text document and a video transcript.
M. Slaney, D. Ponceleon
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Segmentation in scale space

1995
A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
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Morphological Scale-Space based Vessel Segmentation of Retinal Image

2012 Annual IEEE India Conference (INDICON), 2012
This paper introduces a novel procedure to segment retinal vessels using new technique namely Morphological Angular Scale-Space (MASS). Line structuring element is rotated about the seed point to determine the curvature of the vessels thereby ensuring that the components remains connected along vessels segmented.
Anirban Kundu, Rohit Kamal Chatterjee
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Bifurcation of Segment Edge Curves in Scale Space

2012
In this paper, we aim to develop a criterion to select scale parameters, which control pre-smoothing for edge detection. We first formalise the Canny edge detector which extracts the zeros of bilinear form of the first- and the second-order derivatives of image intensity.
Tomoya Sakai, Haruhiko Nishiguchi, Hayato Itoh, Atsushi Imiya   +3 more
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An Idempotent Scale-Space Approach for Morphological Segmentation

2005
This work constitutes a first approach on image segmentation based on the recently proposed morphological scale-space theory. We introduce an idempotent smoot hing operation, in the corresponding scale-space, and analyze some of its main features concerning the monotonicity of the image extrema and the way these extrema merge in a multiscale ...
Neucimar J. Leite, Marta D. Teixeira
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Efficient scale space auto-context for image segmentation and labeling

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
The conditional random fields (CRF) model, using patch-based classification bound with context information, has been widely adopted for image segmentation/ labeling. In this paper, we propose three components for improving the speed and accuracy, and illustrate them on a developed auto-context algorithm: (1) a new coding scheme for multiclass ...
null Jiayan Jiang, null Zhuowen Tu
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Fuzzy homogeneity and scale-space approach to color image segmentation

Pattern Recognition, 2003
Image segmentation is the procedure in which the original image is partitioned into homogeneous regions, and has many applications. In this paper, a fuzzy homogeneity and scale-space approach to color image segmentation is proposed. A color image is transformed into fuzzy domain with maximum fuzzy entropy principle.
H.D. Cheng, J. Li
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