Low Level Moving-Feature Extraction Via Heat Flow Analogy
@inproceedings{Direkolu2006LowLM, title={Low Level Moving-Feature Extraction Via Heat Flow Analogy}, author={Cem Direkoǧlu and Mark S. Nixon}, booktitle={International Symposium on Visual Computing}, year={2006}, url={https://api.semanticscholar.org/CorpusID:35325044} }
E evaluation results indicate that this approach has advantages in handling noise in the temporal domain because of the averaging inherent of isotropic heat flow, and results show that this technique can detect moving edges in image sequences.
6 Citations
Moving-edge detection via heat flow analogy
- 2011
Computer Science, Engineering
Feature extraction via heat flow analogy
- 2009
Computer Science, Physics
The evaluations and experimental results show that the heat analogy can be applied successfully both for low-level and for high-level feature extraction purposes in image processing and computer vision.
Shape Extraction Via Heat Flow Analogy
- 2007
Computer Science, Engineering
A novel evolution-based segmentation algorithm is introduced by using the heat flow analogy, to gain practical advantage and is compared with active contour models and is tested on synthetic and medical images.
Circle Detection using the Image Ray Transform - A Novel Technique for using a Ray Analogy to Extract Circular Features
- 2010
Computer Science
The transform using an analogy to light rays has been developed for the detection of circular and tubular features and its ability to highlight circles even in complex scenes is shown and the flexibility available to the technique through adjustment of parameters is shown.
On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
- 2008
Computer Science
How gravitational force can be used for low-level analysis, while analogies of water flow and heat can be deployed to achieve high-level smooth shape detection, by determining features and shapes in a selection of images, compared with those by stock approaches from the literature.
On using an analogy to heat flow for shape extraction
- 2011
Computer Science, Engineering
A novel evolution-based segmentation algorithm which uses the heat flow analogy to gain practical advantage and is compared with active contour models and is tested on synthetic and medical images.
20 References
Image Scale-Space from the Heat Kernel
- 2005
Computer Science, Mathematics
The heat-kernel can be used to construct a scale-space for image smoothing and edge detection and this method has the effect of smoothing within regions, but does not blur region boundaries and this overcomes one of the problems with Gaussian scale- space.
Anti-geometric diffusion for adaptive thresholding and fast segmentation
- 2003
Computer Science
An anisotropic diffusion model, which is called the anti-geometric heat flow, is utilized for adaptive thresholding of bimodal images and for segmentation of more general greyscale images, able rapidly to detect and discriminate between entire image regions that lie near, but on opposite sides of, a prominent edge.
A new image flux conduction model and its application to selective image smoothing
- 2001
Computer Science
Experimental results obtained have demonstrated that the proposed model could effectively handle the selective image smoothing problem and is more efficient and accurate than the conventional methods.
A new approach to thinning based on time-reversed heat conduction model [image processing]
- 2004
Computer Science, Engineering
In this article, a novel thinning algorithm, based on a time-reversed heat conduction model, is proposed. The image is viewed as a thermal conductor and the thinning task is then considered as an…
A Scale-Space Approach to Nonlocal Optical Flow Calculations
- 1999
Computer Science, Physics
This paper presents an interpretation of a classic optical flow method by Nagel and Enkelmann as a tensor-driven anisotropic diffusion approach in digital image analysis that can recover displacement fields which are far beyond the typical one-pixel limits that are characteristic for many Differential methods for optical flow recovery.
Geometric heat equation and nonlinear diffusion of shapes and images
- 1994
Mathematics, Computer Science
This work presents several properties of curvature deformation smoothing of shape: it preserves inclusion order, annihilates extrema and inflection points without creating new ones, decreases total curvature, satisfies the semi-group property allowing for local iterative computations, etc.
Anisotropic diffusion pyramids for image segmentation
- 1994
Computer Science, Environmental Science
The ADP has a superior ability to subdivide the image into integral groupings, minimizing the error in boundary localization and in pixel intensity, and an application to segmentation of remotely sensed data is provided.
Motion analysis with application to assistive vision technology
- 2004
Engineering, Computer Science
A motion analysis scheme is proposed to function as an assistive vision technology tool and the presented experimental results indicate the efficiency of this scheme in detecting and segmenting the moving areas.
Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
- 2004
Computer Science, Physics
Qualitative and quantitative results show that the spatio-temporal approach leads to a rotationally invariant and time symmetric convex optimization problem and has a unique minimum that can be found in a stable way by standard algorithms such as gradient descent.
Snakes, shapes, and gradient vector flow
- 1998
Computer Science, Mathematics
This paper presents a new external force for active contours, which is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image, and has a large capture range and is able to move snakes into boundary concavities.