Results 1 - 10 of 79

Geometrically Guided Fuzzy C-means Clustering for Multivariate Image Segmentation

by J.C. Noordam, W.H.A.M. van den Broek - Proc. Int. Conf. on Pattern Recognition , 2000
"... Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in meaningful regions with FCM is based on spectral information only. The geometrical relationship between neighbouring pix ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
-FCM) show improved segmentation above traditional FCM such as more homogeneous regions and less spurious pixels. 1.

Edge Detection with Embedded Confidence

by Peter Meer, Bogdan Georgescu - IEEE TRANS. PATTERN ANAL. MACHINE INTELL , 2001
"... Computing the weighted average of the pixel values in a window is a basic module in many computer vision operators. The process is reformulated in a linear vector space and the role of the different subspaces is emphasized. Within this framework well known artifacts of the gradient based edge dete ..."
Abstract - Cited by 96 (1 self) - Add to MetaCart
Computing the weighted average of the pixel values in a window is a basic module in many computer vision operators. The process is reformulated in a linear vector space and the role of the different subspaces is emphasized. Within this framework well known artifacts of the gradient based edge

Integrated Automatic Target Detection from Pixel-Registered Visual-Thermal-Range Images

by Jorge E. Perez-Jacome F., Vijay K. Madisetti - ARL Sensors and Electron Devices Symposium , 1997
"... This paper outlines a method to automatically detect targets from sets of pixel-registered visual, thermal, and range images. The method uses operations specifically designed for the different kinds of images. It also introduces the morphological operation called "erosion of strength n" as ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
This paper outlines a method to automatically detect targets from sets of pixel-registered visual, thermal, and range images. The method uses operations specifically designed for the different kinds of images. It also introduces the morphological operation called "erosion of strength n

Image Magnification Using Adaptive Interpolation by Pixel Level Data-Dependent Geometrical Shapes

by Muhammad Sajjad, Naveed Khattak, Noman Jafri
"... computer graphics and digital cameras is prevalent. High resolution display and printer are available. Therefore high resolution images are needed in order to produce high quality display images and high quality prints. However, since high resolution images are not usually provided, there is a need ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
to magnify the original images. One common difficulty in the previous magnification techniques is that of preserving details, i.e. edges and at the same time smoothing the data for not introducing the spurious artefacts. A definitive solution to this is still an open issue. In this paper an image

1 Unsupervised Segmentation of Predefined Shapes in Multivariate Images

by J. C. Noordam, L. M. C. Buydens , 2003
"... Fuzzy C-means (FCM) is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. In traditional FCM the clustering is based on spectral information only and geometrical relationship between neighbouring pixels is not used in the clustering proce ..."
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is compared with both FCM and the sequence of FCM and a majority filter. The SG-FCM segmented image shows more homogeneous regions and less spurious pixels.

Image Magnification Using Adaptive Interpolation by Pixel Level Data-Dependent Geometrical Shapes

by unknown authors
"... computer graphics and digital cameras is prevalent. High resolution display and printer are available. Therefore high resolution images are needed in order to produce high quality display images and high quality prints. However, since high resolution images are not usually provided, there is a need ..."
Abstract - Add to MetaCart
to magnify the original images. One common difficulty in the previous magnification techniques is that of preserving details, i.e. edges and at the same time smoothing the data for not introducing the spurious artefacts. A definitive solution to this is still an open issue. In this paper an image

Image Magnification Using Adaptive Interpolation by Pixel Level Data-Dependent Geometrical Shapes

by unknown authors
"... computer graphics and digital cameras is prevalent. High resolution display and printer are available. Therefore high resolution images are needed in order to produce high quality display images and high quality prints. However, since high resolution images are not usually provided, there is a need ..."
Abstract - Add to MetaCart
to magnify the original images. One common difficulty in the previous magnification techniques is that of preserving details, i.e. edges and at the same time smoothing the data for not introducing the spurious artefacts. A definitive solution to this is still an open issue. In this paper an image

PatchMatch Based Joint View Selection and Depthmap Estimation

by Enliang Zheng, Enrique Dunn, Vladimir Jojic, Jan-michael Frahm
"... We propose a multi-view depthmap estimation approach aimed at adaptively ascertaining the pixel level data asso-ciations between a reference image and all the elements of a source image set. Namely, we address the question, what aggregation subset of the source image set should we use to estimate th ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
probability inference and PatchMatch-like depth sampling and propagation. Experimental results on standard multi-view benchmarks convey the state-of-the art estimation accuracy afforded by mitigating spurious pixel-level data associations. Additionally, experiments on large Internet crowd sourced data

Pixel correlation searches for OVI in the Lyman α forest and the volume filling factor of metals in the Intergalactic Medium at z ∼ 2 − 3.5

by Matthew M. Pieri, Martin G. Haehnelt , 2003
"... Artificial absorption spectra are used to test a variety of instrumental and physical effects on the the pixel correlation technique for the detection of weak Ovi absorption. At Hi optical depths < ∼0.3−1, the apparent Ovi detections are spurious coincidences due to Hi absorption at other redshif ..."
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Artificial absorption spectra are used to test a variety of instrumental and physical effects on the the pixel correlation technique for the detection of weak Ovi absorption. At Hi optical depths < ∼0.3−1, the apparent Ovi detections are spurious coincidences due to Hi absorption at other

Shape Preserving Local Histogram Modification

by Vicent Caselles, Jose-Luis Lisani, Jean-Michel Morel, Guillermo Sapiro , 1999
"... A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spuri ..."
Abstract - Cited by 54 (4 self) - Add to MetaCart
spurious objects and modifying the image information. The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based both on the grey-values and spatial relations between pixels in the image, and following mathematical morphology, constitute the basic
Results 1 - 10 of 79