Results 211 to 220 of about 43,917 (250)
Advanced Functional Materials, EarlyView.This paper introduces a flexible neural probe with integrated micro‐OLEDs on a flexible substrate for the first time, featuring 8 micro‐OLEDs and recording electrodes for optogenetics. It uses advanced encapsulation and an IAI anode for durability, emitting 470 nm light for ChR2 activation, enabling high‐resolution, minimally invasive stimulation ...
Somin Lee +8 more
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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 ...
A. Abdessealm +2 more
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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.
Jiguang Li, Heng-Da Cheng
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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.
Mausumi Acharyya, Malay K. Kundu
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Image segmentation by analysis of scale-space [PDF]
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.
Garcia De Carvalho, Marco António +2 more
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The Segmentation of Images via Scale-Space Trees
Procedings of the British Machine Vision Conference 1998, 1998A useful representation of an image would be an object tree in which nodes represent objects, or parts of objects, and which includes at least one node that, together with its children, represents each object: a grandmothernode. It is shown that scale-trees, obtained from greyscale images, approximate such a tree.
J. Andrew Bangham +3 more
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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.
Mohammed Ghanbari, Ebroul Izquierdo
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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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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.
Garcia De Carvalho, Marco António +2 more
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Segmenting multisensor aerial images in class–scale space
Pattern Recognition, 2001Abstract We introduce a class–scale space for automated segmentation of aerial images from diverse sensors. We describe the performance of a segmentation algorithm operating in this space. This algorithm is carried out by three processors in succession: multiscale feature extractor, multiclass pattern classifier, and class–scale logic. The multiscale
Brian Lofy, Jack Sklansky
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