Texture removal by pixel classification using a rotating filter
Baptiste Magnier,Philippe Montesinos,Daniel Diep +2 more
- 22 May 2011
- pp 1097-1100
TL;DR: A new method for anisotropic diffusion which controls accurately the diffusion near edge and corner points and diffuses isotropically inside textured regions is introduced.
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Abstract: In this paper, we present a new method for removing texture in images using a smoothing rotating filter From this filter, a bank of smoothed images provides pixel signals able to classify a pixel as a texture pixel, a homogenous region pixel or an edge pixel Then, we introduce a new method for anisotropic diffusion which controls accurately the diffusion near edge and corner points and diffuses isotropically inside textured regions Several results applied on real images and a comparison with anisotropic diffusion methods show that our model is able to remove the texture and control the diffusion
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Citations
Ridges and valleys detection in images using difference of rotating half smoothing filters
Baptiste Magnier,Philippe Montesinos,Daniel Diep +2 more
- 22 Aug 2011
TL;DR: A new ridge/valley anisotropic DoG detector enabling very precise detection of ridge/Valley points and performs correctly at crest lines even if highly bended, and is precise on junctions.
•Proceedings Article
Fast Anisotropic Edge Detection Using Gamma Correction in Color Images
Baptiste Magnier,Philippe Montesinos,Daniel Diep +2 more
- 04 Sep 2011
TL;DR: In this paper, a new edge detector based on anisotropic linear filtering, local maximization and gamma correction is proposed, which is based on the use of two elongated and oriented filters in two different directions.
15
An Objective Evaluation of Edge Detection Methods Based on Oriented Half Kernels
Baptiste Magnier
- 02 Jul 2018
TL;DR: To address the robustness of the studied filters against noise, the image quality is gradually worsened, and their performances are compared through objective evaluations of both segmentation and gradient direction.
Evolution of Image Regularization with PDEs toward a New Anisotropic Smoothing based on Half Kernels
TL;DR: A new smoothing method preserving structures which drives the diffusion function of the angle between the two edge directions and the gradient value enables to preserve edges and corners, contrary to other anisotropic diffusion methods.
Multi-scale crest line extraction based on half Gaussian Kernels
Baptiste Magnier,Arezki Aberkane,Philippe Borianne,Philippe Montesinos,Christophe Jourdan +4 more
- 04 May 2014
TL;DR: A new ridge/valley detection method in images based on the difference of rotating Gaussian semi filters adapted in a multi-scale process enabling very precise detection of ridge/Valley of varied widths is proposed.
References
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Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
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Robert M. Haralick
- 01 Jan 1979
TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
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Anisotropic diffusion in image processing
Joachim Weickert
- 01 Jan 1998
TL;DR: This work states that all scale-spaces fulllling a few fairly natural axioms are governed by parabolic PDEs with the original image as initial condition, which means that, if one image is brighter than another, then this order is preserved during the entire scale-space evolution.
Image selective smoothing and edge detection by nonlinear diffusion. II
TL;DR: In this article, a new version of the Perona and Malik theory for edge detection and image restoration is proposed, which keeps all the improvements of the original model and avoids its drawbacks.
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