CA2162276C - Methode de traitement numerique de l'intensite au niveau des pixels pour ameliorer la qualite des images - Google Patents

Methode de traitement numerique de l'intensite au niveau des pixels pour ameliorer la qualite des images Download PDF

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Publication number
CA2162276C
CA2162276C CA002162276A CA2162276A CA2162276C CA 2162276 C CA2162276 C CA 2162276C CA 002162276 A CA002162276 A CA 002162276A CA 2162276 A CA2162276 A CA 2162276A CA 2162276 C CA2162276 C CA 2162276C
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Prior art keywords
hysteresis
image
intensity
image data
cursor
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Expired - Lifetime
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CA002162276A
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CA2162276A1 (fr
Inventor
Klaus-Ruediger Peters
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University of Connecticut
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University of Connecticut
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Priority claimed from US08/207,488 external-priority patent/US5563962A/en
Priority claimed from US08/207,489 external-priority patent/US5592571A/en
Application filed by University of Connecticut filed Critical University of Connecticut
Priority claimed from PCT/US1995/002962 external-priority patent/WO1995024694A1/fr
Publication of CA2162276A1 publication Critical patent/CA2162276A1/fr
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Publication of CA2162276C publication Critical patent/CA2162276C/fr
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  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Image Analysis (AREA)

Abstract

Le lissage de deux images selon des coefficients de lissage différents permet d'obtenir par soustraction les différences d'imagerie entre les données les moins lissées et les plus lissées. Selon cette invention, la technique de lissage inclut un filtre numérique d'hystérésis bidimensionnelle utilisant un "masque bidimensionnel de variables à réinitialisation automatique". Le filtre est donc indépendant de la taille d'image et de son contenu, et il ne peut pas modifier le dimensionnement de caractéristiques d'intensité significatives. Pour calculer la valeur de l'intensité du pixel lissé, le procédé de lissage par hystérésis bidimensionnelle utilise un ensemble de lignes d'hystérésis unidimensionnelles de pentes différentes, et coupant chaque pixel d'une image. Pour obtenir la valeur résultante concernant le pixel, le procédé totalise ces valeurs d'hystérésis unidimensionnelle et à les divise par le nombre de lignes d'hystérésis. Cette technique de traitement de l'intensité permet la séparation des informations contenues dans une image en groupes d'informations de base.
CA002162276A 1994-03-08 1995-03-08 Methode de traitement numerique de l'intensite au niveau des pixels pour ameliorer la qualite des images Expired - Lifetime CA2162276C (fr)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US08/207,488 US5563962A (en) 1994-03-08 1994-03-08 Two dimensional digital hysteresis filter for smoothing digital images
US08/207,489 US5592571A (en) 1994-03-08 1994-03-08 Digital pixel-accurate intensity processing method for image information enhancement
US08/207,488 1994-03-08
US08/207,489 1994-03-08
PCT/US1995/002962 WO1995024694A1 (fr) 1994-03-08 1995-03-08 Procede de traitement numerique de l'intensite pixel par pixel ameliorant la lisibilite des informations d'imagerie

Publications (2)

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CA2162276A1 CA2162276A1 (fr) 1995-09-14
CA2162276C true CA2162276C (fr) 2005-12-06

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CA002162276A Expired - Lifetime CA2162276C (fr) 1994-03-08 1995-03-08 Methode de traitement numerique de l'intensite au niveau des pixels pour ameliorer la qualite des images

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11527005B2 (en) * 2019-07-22 2022-12-13 Samsung Electronics Co., Ltd. Video depth estimation based on temporal attention
CN115005846B (zh) * 2022-08-08 2022-10-11 江苏盛恩祥生物技术有限公司 适用于血管显影的数据处理方法及装置
CN116051420B (zh) * 2023-02-17 2025-12-02 苏州欧谱曼迪科技有限公司 一种医疗图像色彩增强的方法
CN119205629A (zh) * 2024-08-21 2024-12-27 广州奥科生物医学科技有限公司 基于ai的cba荧光免疫判断方法、系统及存储介质

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Publication number Publication date
CA2162276A1 (fr) 1995-09-14

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Effective date: 20150309