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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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Image segmentation using Scale-Space Random Walks
2009 16th International Conference on Digital Signal Processing, 2009Many methods for supervised image segmentation exist. One such algorithm, Random Walks, is very fast and accurate when compared to other methods. A drawback to Random Walks is that it has difficulty producing accurate and clean segmentations in the presence of noise.
Richard Rzeszutek +2 more
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Localization Scale Selection for Scale-Space Segmentation
2005In 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 +1 more
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An Idempotent Scale-Space Approach for Morphological Segmentation
2005This 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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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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Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Naeemullah Khan +2 more
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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), 2002This 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
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Scale Space Technique for Word Segmentation in Handwritten Documents
1999Indexing large archives of historical manuscripts, like the papers of George Washington, is required to allow rapid perusal by scholars and researchers who wish to consult the original manuscripts. Presently, such large archives are indexed manually.
R. Manmatha, Nitin Srimal
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Segmenting by Compression Using Linear Scale-Space and Watersheds
1999Automatic segmentation is performed using watersheds of the gradient magnitude and compression techniques. Linear Scale-Space is used to discover the neighbourhood structure and catchment basins are locally merged with Minimum Description Length. The algorithm can form a basis for a large range of automatic segmentation algorithms based on watersheds ...
Sporring, Jon, Olsen, Ole Fogh
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Color image segmentation by scale-space image analysis
2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007An image analysis method has been proposed to segment color images. The method is capable of segmenting color images based on watershed transform and scale-space analysis of the images. We analyze hierarchical, geometric properties and the hue uniformity measure of the tree of scale-space and show the experimental results for several biological and ...
null Zhi-Qiang Wei, null Miao Yang
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