Results 231 to 240 of about 572,802 (294)

Retinal vessel segmentation using Morphological Angular Scale-Space

2012 Third International Conference on Emerging Applications of Information Technology, 2012
In this paper, segmentation of retinal vessel is done using an innovative procedure named as Morphological Angular Scale-Space (MASS). A linear structuring element rotated at different angles determines the connected components and ensuring that connectivity is not lost across the vessels.
Anirban Kundu, Rohit Kamal Chatterjee
exaly   +3 more sources

Localization Scale Selection for Scale-Space Segmentation

International Conference on Image Analysis and Recognition, 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 G. Bourbakis   +1 more
openaire   +2 more sources

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
exaly   +2 more sources

Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI

Journal of Medical Imaging and Health Informatics, 2020
In this work, we present an image segmentation algorithm based on the convolutional neural network framework where the scale space theory is incorporated in the course of training procedure. The construction of data augmentation is designed to apply the scale space to the training data in order to effectively deal with the variability of regions of ...
Byung-Woo Hong
exaly   +2 more sources

Document image segmentation using wavelet scale-space features

IEEE Transactions on Circuits and Systems for Video Technology, 2002
An efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphics part have different textural properties than the nongraphics (text) part. The segmentation method uses the notion of multiscale wavelet analysis and statistical pattern recognition.
M K Kundu
exaly   +2 more sources

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.
Malcolm Slaney, Dulce B. Ponceleon
openaire   +2 more sources

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
openaire   +2 more sources

Gland segmentation from histology images using informative morphological scale space

International Conference on Information Photonics, 2016
Angshuman Paul, Dipti Prasad Mukherjee
exaly   +2 more sources

Magnetic Anomaly Detection of Defects in Underground Ferromagnetic Pipeline Using Variational Mode Decomposition and Scale-space Segmentation

2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring), 2019
The study aimed to investigate the use of Magnetic Anomaly Detection (MAD) to locate defects in underground ferromagnetic pipelines without exposing them, which presented a large advantage over current methods.
Haiyang Ju, Xinhua Wang, Tao Zhang, Yizhen Zhao, Z. Ullah   +4 more
semanticscholar   +1 more source

Image segmentation by analysis of scale-space

Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing, 2003
We present a technique in image segmentation based on a hierarchical analysis of scale-space. The image hierarchy is a tree of critical lakes and provides a set of nested partitions. We analyze the scale-space from fine to coarse levels according to specific attributes.
Marco António Garcia de Carvalho, Michel Couprie, Roberto de Alencar Lotufo   +2 more
openaire   +2 more sources