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1998

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Snakes, Shapes, and Gradient Vector Flow

12 years 8 months ago

Download www.iacl.ece.jhu.edu

Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initiali...

Chenyang Xu, Jerry L. Prince

posted by cloudwizard

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Id	Views	Title	Status

1	456	Snakes, Shapes, and Gradient Vector Flow
2	294	Snakes, shapes, and gradient vector flow	claim
3	240	DCT-based motion estimation	claim
4	162	Variational image segmentation using boundary functions	claim
5	161	Robust anisotropic diffusion	claim
6	159	An optimal quadtree-based motion estimation and motion-compensated interpolation scheme for video compression	claim
7	157	Reproducing kernel Hilbert space method for optimal interpolation of potential field data	claim
8	151	Efficient and reliable schemes for nonlinear diffusion filtering	claim
9	142	Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF	claim
10	137	Blocking effect reduction of JPEG images by signal adaptive filtering	claim
11	137	Adaptive, quadratic preprocessing of document images for binarization	claim
12	135	Adaptive weighted highpass filters using multiscale analysis	claim
13	134	Region growing: a new approach	claim
14	131	Absolute phase image reconstruction: a stochastic nonlinear filtering approach	claim
15	129	Minimax partial distortion competitive learning for optimal codebook design	claim
16	128	Multigrid anisotropic diffusion	claim
17	128	Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage	claim
18	125	Dense estimation and object-based segmentation of the optical flow with robust techniques	claim
19	125	Additive vector decoding of transform coded images	claim
20	124	Texture synthesis via a noncausal nonparametric multiscale Markov random field	claim
21	122	An error resilient scheme for image transmission over noisy channels with memory	claim
22	117	Fast road classification and orientation estimation using omni-view images and neural networks	claim
23	116	Line and boundary detection in speckle images	claim
24	114	An optimal polygonal boundary encoding scheme in the rate distortion sense	claim
25	113	Best neighborhood matching: an information loss restoration technique for block-based image coding systems	claim
26	112	Guest Editorial Applications Of Artificial Neural Networks To Image Processing	claim
27	112	Histogram-based segmentation in a perceptually uniform color space	claim
28	111	Texture information in run-length matrices	claim
29	109	Optimum design of chamfer distance transforms	claim
30	109	Extraction of signatures from check background based on a filiformity criterion	claim
31	109	A deblocking technique for block-transform compressed image using wavelet transform modulus maxima	claim
32	109	A general framework for low level vision	claim
33	108	Holographic representations of images	claim
34	103	Technique for fractal image compression using genetic algorithm	claim
35	103	Orientation diffusions	claim
36	102	Directional filtering in edge detection	claim
37	101	Target discrimination in synthetic aperture radar using artificial neural networks	claim
38	99	Nonlinear image estimation using piecewise and local image models	claim
39	97	Estimation of shape of binary polygonal object from scattered field	claim
40	95	VQ-adaptive block transform coding of images	claim
41	94	A wavelet-based analysis of fractal image compression	claim
42	94	Robust B-spline image modeling with application to image processing	claim
43	91	Adaptive thresholding by variational method	claim
44	91	A recursive thresholding technique for image segmentation	claim
45	90	Processing JPEG-compressed images and documents	claim
46	90	ML parameter estimation for Markov random fields with applications to Bayesian tomography	claim
47	83	Nonexpansive pyramid for image coding using a nonlinear filterbank	claim
48	78	Modified curvature motion for image smoothing and enhancement	claim

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