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Segmentation Neural Network Incorporating Scale-Space in the Application of Cardiac MRI
Journal of Medical Imaging and Health Informatics, 2020In 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
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Motion-driven object segmentation in scale-space
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999In 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
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Segmenting multisensor aerial images in class–scale space
Pattern Recognition, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brian Lofy, Jack Sklansky
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Scale-space characteristics for image segmentation
Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239), 2002For 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 +2 more
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Scale-space approximated convolutional neural networks for retinal vessel segmentation
Computer Methods and Programs in Biomedicine, 2019Retinal 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 +2 more
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Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures
Computerized Medical Imaging and Graphics, 2010The 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
Anna Karahaliou +2 more
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Document image segmentation using wavelet scale-space features
IEEE Transactions on Circuits and Systems for Video Technology, 2002An 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
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Scale Space Hierarchy of Segments
2009In 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 +2 more
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Acoustic-phonetic segment classification and scale-space filtering
ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Scale-space filtering represents one method for automatically extracting both coarse and fine-grained units from the speech signal. We examine the acoustic-phonetic structure of segments obtained by scale-space filtering of cochleagrams, and report on the correspondences between scale-space segments which are automatically derived and hand-marked ...
Meg Withgott +3 more
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Segmentation of images of yeast cells by scale-space analysis
16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2004We present an hierarchical approach to segment images of yeast cells based on watershed and space-scale analysis. Yeasts belong to an important fungi class and the performance of bioreactors and other chemical processes are greatly influenced by their morphological character.
Marco António Garcia de Carvalho +2 more
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