Results 241 to 250 of about 9,000,286 (286)

Motion-driven object segmentation in scale-space

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
In this paper we present a method for motion segmentation, in which accurate grouping of pixels undergoing the same motion is targeted. In the presented technique true object edges are first obtained by combining anisotropic diffusion of the original image with edge detection and contour reconstruction in the inherent scale-space.
Ebroul Izquierdo, Mohammed Ghanbari 0001
openaire   +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   +3 more sources

Segmenting multisensor aerial images in class–scale space

Pattern Recognition, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brian Lofy, Jack Sklansky
openaire   +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   +3 more sources

Scale Space Hierarchy of Segments

2009
In this paper, we develop a segmentation algorithm using configurations of singular points in the linear scale space. We define segment edges as a zero-crossing set in the linear scale space using the singular points. An image in the linear scale space is the convolution of the image and the Gaussian kernel.
Haruhiko Nishiguchi, Atsushi Imiya, Tomoya Sakai 0002   +2 more
openaire   +2 more sources

Scale-space characteristics for image segmentation

Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239), 2002
For successful image segmentation, it is vital to discover optimal discriminating features that contrast one region from the other, or contrast salient edges from the background. We propose a new method for image segmentation based on three discriminating features: average gradient magnitude, uniformity of gradient magnitude and uniformity of gradient ...
M. Rahman, null Wang Yin Chai, A. Abdessealm   +2 more
openaire   +1 more source

Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures

Computerized Medical Imaging and Graphics, 2010
The purpose of this study is size-adapted segmentation of individual microcalcifications in mammography, based on microcalcification scale-space signature estimation, enabling robust scale selection for initialization of multiscale active contours. Segmentation accuracy was evaluated by the area overlap measure, by comparing the proposed method and two
Spyros Skiadopoulos, Lena I Costaridou, Anna Karahaliou   +2 more
exaly   +4 more sources

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, Soochahn Lee, Sang Jun Park   +2 more
exaly   +4 more sources

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 0002, Haruhiko Nishiguchi, Hayato Itoh, Atsushi Imiya   +3 more
openaire   +1 more source

Multiresolution segmentation of natural images: from linear to nonlinear scale-space representations [PDF]

IEEE Transactions on Image Processing, 2004
In this paper, we introduce a framework that merges classical ideas borrowed from scale-space and multiresolution segmentation with nonlinear partial differential equations. A non-linear scale-space stack is constructed by means of an appropriate diffusion equation.
P Vandergheynst
exaly   +5 more sources