2006•Unpublished venueRequires access

The Anisotropic Diffusion Methods Based on the Directions of the Image Feature

Jinming Cheng

Open publisher page 4 citations

Abstract

Traditional anisotropic diffusion methods always come from PDE(partial differential equation) itself.Which results in complex theoretic analysis.The inner orthogonal coordination based on the directions of the image feature is discussed in this paper.Subsequently,anisotropic diffusion methods based on the inner orthogonal coordination can be constructed directly.Which are more intuitionistic than the traditional methods,and can simplify the analysis in theory as well.A new anisotropic diffusion filtering method which is based on this framework is proposed in this paper.The numerical results show that the new method takes the local feature of the image into good account and can accomplish both detail-preserving and noise-removing.The anisotropic diffusion methods based on the direction of the image feature proposed in the paper is efficient and can get anticipate results.

About this research paper

What this paper is about

Traditional anisotropic diffusion methods always come from PDE(partial differential equation) itself.Which results in complex theoretic analysis.The inner orthogonal coordination based on the directions of the image feature is discussed in this paper.Subsequently,anisotropic diffusion methods based on the inner orthogonal coordination can be constructed directly.Which are more intuitionistic than the traditional methods,and can simplify the analysis in theory as well.A new anisotropic diffusion filtering method which is based on this framework is proposed in this paper.The numerical results show that the new method takes the local feature of the image into good account and can accomplish both detail-preserving and noise-removing.The anisotropic diffusion methods based on the direction of the image feature proposed in the paper is efficient and can get anticipate results.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Traditional anisotropic diffusion methods always come from PDE(partial differential equation) itself.Which results in complex theoretic analysis.The inner orthogonal coordination based on the directions of the image feature is discussed in this paper.Subsequently,anisotropic diffusion methods based on the inner orthogonal coordination can be constructed directly.Which are more intuitionistic than the traditional methods,and can simplify the analysis in theory as well.A new anisotropic diffusion filtering method which is based on this framework is proposed in this paper.The numerical results show that the new method takes the local feature of the image into good account and can accomplish both detail-preserving and noise-removing.The anisotropic diffusion methods based on the direction of the image feature proposed in the paper is efficient and can get anticipate results.

Key concepts: Anisotropic diffusion, Feature (linguistics), Diffusion, Partial differential equation, Anisotropy, Image (mathematics), Computer science, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
The Anisotropic Diffusion Methods Based on the Directions of the Image Feature — Research Paper | ScholarLens