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Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Segmentation (I.4.6) > Edge And Feature Detection (I.4.6...)
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1-10 of 28
Reviews about "Edge And Feature Detection (I.4.6...)":
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Date Reviewed |
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Efficient high-dimensional, edge-aware filtering
Gastal E. IEEE Computer Graphics and Applications 36(6): 86-95, 2016. Type: Article
When images and videos are not aesthetically pleasing, human viewers stop in the middle and go elsewhere on the web for a better viewing experience. One main reason is the transitions between objects (edges) are blurred or not distinct...
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Feb 28 2017 |
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Automatic edge-based localization of facial features from images with complex facial expressions
Gizatdinova Y., Surakka V. Pattern Recognition Letters 31(15): 2436-2446, 2010. Type: Article
Gizatdinova and Surakka address the issue of expression-independent localization of regions of interest (ROIs) on facial images, subject to changes associated with facial behavior in upright images....
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Aug 23 2011 |
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Image segmentation for silicosis diagnosis in grid environment
Zheng R., Jin H., Zhang Q., Zhang L. ICIMCS 2009 (Proceedings of the 1st International Conference on Internet Multimedia Computing and Service, Kunming, Yunnan, China, Nov 23-25, 2009) 232-237, 2009. Type: Proceedings
The paper proposes segmentation methods for silicosis, a type of pneumoconiosis that is one of the most harmful occupational respiratory diseases. The segmentation methods include a knowledge-based anatomical lung segmentation approach...
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Oct 21 2010 |
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A nonlinear derivative scheme applied to edge detection
Laligant O., Truchetet F. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(2): 242-257, 2010. Type: Article
Edge detection is a problem of fundamental importance in image processing, particularly in image segmentation. Many approaches have been suggested for edge detection, but most of them can be grouped into two categories: gradient and La...
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Oct 13 2010 |
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CVVEFM: cubical voxels and virtual electric field model for edge detection in color images
Bouda B., Masmoudi L., Aboutajdine D. Signal Processing 88(4): 905-915, 2008. Type: Article
Bouda et al. propose a color image edge detector that models brightness as a virtual electric charge in order to calculate an electric field to yield gradients and then edges. Each pixel uses its 3-by-3 spatial neighborhood and three s...
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Dec 2 2008 |
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Edge affinity for pose-contour matching
Prasad V., Davis L., Tran S., Elgammal A. Computer Vision and Image Understanding 104(1): 36-47, 2006. Type: Article
An algorithm for pose-contour matching using edge affinity is proposed in this paper. The authors show that the performance of pose-contour matching could be improved by using edge affinity in the case of cluttered images. For the pose...
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Jun 11 2007 |
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Recent advances in visual and infrared face recognition--a review
Kong S., Heo J., Abidi B., Paik J., Abidi M. Computer Vision and Image Understanding 97(1): 103-135, 2005. Type: Article
This is one of those wonderful state-of-the-art review papers that will allow the reader to become current on a field in a couple of hours. It has 161 references, but is so well organized and well written that the many footnotes do not...
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Jul 1 2005 |
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Unsupervised video object segmentation and tracking based on new edge features
Kim B., Park D. Pattern Recognition Letters 25(15): 1731-1742, 2004. Type: Article
A new algorithm for video segmentation and object tracking is presented in this paper. The authors claim that the algorithm is particularly suited for use with Moving Picture Experts Group (MPEG)-4 and MPEG-7. Three parameters based on...
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Apr 19 2005 |
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Tool wear monitoring using a fast Hough transform of images of machined surfaces
Mannan A., Mian Z., Kassim A. Machine Vision and Applications 15(3): 156-163, 2004. Type: Article
A worn tool that is not replaced will in time produce unqualified parts, while throwing away good tools will incur a huge of waste of manufacturing resources. Therefore, it is important to develop a tool wear monitoring system, to repl...
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Mar 9 2005 |
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Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
Martin D., Fowlkes C., Malik J. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(5): 530-549, 2004. Type: Article
Detecting image boundaries is an important task in computer vision. The authors report their recent results in natural image boundary detection in a long, but well-structured and detailed paper....
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Mar 1 2005 |
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