Results 271 to 280 of about 498,519 (319)
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Localization Scale Selection for Scale-Space Segmentation
International Conference on Image Analysis and Recognition, 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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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 ...
Soochahn Lee +2 more
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Efficient scale space auto-context for image segmentation and labeling [PDF]
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 ...
Zhuowen Tu, Jiayan Jiang
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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), 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 ...
Md Mahmudur Rahman +2 more
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Scale space segmentation of color images using watersheds and fuzzy region merging
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002A multi-resolution segmentation approach for color images is proposed. The scale space is generated using the Perona-Malik diffusion approach and the watershed algorithm is employed to produce the regions in each scale. The dynamics of contours and the relative entropy of color region distribution are estimated as region dissimilarity features across ...
Makrogiannis, Socrates +3 more
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Retinal vessel segmentation using Morphological Angular Scale-Space
2012 Third International Conference on Emerging Applications of Information Technology, 2012In 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.
Rohit Kamal Chatterjee, Anirban Kundu
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Morphological Scale-Space based Vessel Segmentation of Retinal Image
2012 Annual IEEE India Conference (INDICON), 2012This 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.
Rohit Kamal Chatterjee, Anirban Kundu
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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
Spyros Skiadopoulos +6 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.
D. Ponceleon, Malcolm Slaney
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Scale Space Technique for Word Segmentation in Handwritten Documents
Scale-Space, 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.
Nitin Srimal, R. Manmatha
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