Reaction–diffusion network for geometric multiscale high speed image processing

Binczak, Stéphane; Sliwa, Tadeusz; Jacquir, Sabir; Bilbault, Jean-Marie

doi:10.1016/j.imavis.2009.11.008

Cited by 7 publications

(5 citation statements)

References 21 publications

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“…Au-delà, la modification du contour nuit au principe d'accumulation utilisé servant à l'estimation. La méthode de contours actifs présentée peut être implémentée électroniquement, permettant ainsi le calcul des approximations de formes à grande vitesse [12]. Les résultats sur d'autres types de déformations ou bruit sont également disponibles dans [9] …”

Section: Resultsunclassified

Mesurage de perçages imparfaits au défilé par vision industrielle

Mairesse

Sliwa

Voisin

2013

16th International Congress of Metrology

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Résumé. Cet article traite de la mesure sur chaînes de production par vision industrielle et plus particulièrement du mesurage de perçages sur panneaux manufacturés. Pour cela, nous nous intéressons au contour de ces usinages à la surface du panneau. Ces formes sont communément considérées, en première approche, comme des cercles ou des ellipses ce qui peut être assez éloigné de la réalité notamment pour des matériaux compressés. D'autres phénomènes tels que l'environnement industriel et la chaîne d'acquisition interfèrent également sur la qualité de l'image obtenue. Afin de répondre à cette problématique, les auteurs présentent une comparaison de différentes méthodes d'estimation de cercles dans le cadre de déformations de formes. Une méthode de correction de formes est proposée dans le but d'améliorer la mesure. Les résultats obtenus montrent une amélioration significative de l'estimation des perçages pour certains estimateurs et notamment dans les cas de perçages de faible diamètre apparent.Abstract. This article deals with measurement on production lines by industrial vision. More precisely, it concerns the measurement of drillings on manufactured panels. We are interested in the contour of drillings in the panel plan. These forms can be considered, in a first approach, as circles or ellipses that are not true notably in compressed material. Others phenomena such as industrial environment and acquisition chain can also interfere on the image quality. In order to answer this problematic, the authors present a comparison of several measurement methods on distort circles. A method to regularize forms is proposed in order to increase measure quality. The results indicate that the validity of the measure obviously depends on the computation methods but also on the diameter of the drilling.

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Section: Resultsunclassified

Mesurage de perçages imparfaits au défilé par vision industrielle

Mairesse

Sliwa

Voisin

2013

16th International Congress of Metrology

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“…It is easily understandable since its algorithm has been design for a specific electronic implementation [6]. Therefore it is not optimized for the personal computer which has been used for our tests.…”

Section: Resultsmentioning

confidence: 99%

A new morphological tool to extract blood vessels in cross sectional MRI

Blanchard¹,

Sliwa²,

Lalande³

et al. 2013

SPIE Proceedings

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International audienceIn this paper, we propose a new method of mathematical morphology called Aurora transform. This is a geodesic reconstruction that only spreads in radial orientations from a center. Thanks to this method, star domains such as blood vessels in cross sectional planes are extracted even if these regions are often inhomogeneous or some parts of their edges are not drawn very well. This method has been successfully applied to extract the edges of the aortic root, the ascending and the descending aorta in cross sectional cine-MRI. It has been then compared to the use of some active contours. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

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“…Restoration of damaged or degraded images is a crucial research area in computer vision and image processing. As pioneer works, traditional methods [14][15][16], which restoring images rely extensively on mathematical models and heuristic algorithms like filters and transforms, frequently necessitate detailed knowledge of the kind and degree of image deterioration. However, these methods is flawed in numerous practical applications as image degradation is frequently unclear and intricate.…”

Section: Image Restorationmentioning

confidence: 99%

SIDM-WIR: A Sampling Improved DiffusionModel for Worksite Image Restoration

Wen,

Zhuang,

Deng

2024

Preprint

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At presently, Diffusion Model (DM) has achieved state-of-the-art performanceby modeling the image synthesis process through a series of denoising networkapplications. Image Restoration (IR) is to improve the subjective image qual-ity corrupted by various kinds of degradation unlike image synthesis. However,IR for worksite images is greatly challenging in the low-level vision field due tocomplicated environmental factors. To solve this problem, we propose a Sam-pling Improved Diffusion Model for Worksite Image Restoration (SIDM-WIR).It not only improves the authenticity and representation ability for the gener-ation process, but also handles complex backgrounds and diverse object typeseffectively. SIDM-WIR has three main contributions: 1) Its framework adopts aMish-based residual module, which enhances the ability to learn complex patternsof images, and allows for the presence of negative gradients to reduce overfittingrisks during model training. 2) It employs a Mixed-head Self-Attention (MSA)mechanism, which augments the correlation among input elements at each timestep, and maintains a better balance between capturing the global structuralinformation and local detailed textures of the image. 3) It ran in a new customizeddataset named Workplace for WIR specifically. Furthermore, experiments on bothtwo datasets demonstrate that SIDM-WIR achieves better results to previousmethods both quantitatively and qualitatively.

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Reaction–diffusion network for geometric multiscale high speed image processing

Cited by 7 publications

References 21 publications

Mesurage de perçages imparfaits au défilé par vision industrielle

Mesurage de perçages imparfaits au défilé par vision industrielle

A new morphological tool to extract blood vessels in cross sectional MRI

SIDM-WIR: A Sampling Improved DiffusionModel for Worksite Image Restoration

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