WO2008003985A2 - procédé d'identification de caractéristiques linéaires à l'intérieur d'une image - Google Patents
procédé d'identification de caractéristiques linéaires à l'intérieur d'une image Download PDFInfo
- Publication number
- WO2008003985A2 WO2008003985A2 PCT/GB2007/002549 GB2007002549W WO2008003985A2 WO 2008003985 A2 WO2008003985 A2 WO 2008003985A2 GB 2007002549 W GB2007002549 W GB 2007002549W WO 2008003985 A2 WO2008003985 A2 WO 2008003985A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- image
- ilp
- target
- phase
- coefficients
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20064—Wavelet transform [DWT]
Definitions
- a hysteresis window may be applied to any of these thresholds to reduce unnecessary splitting of a coherent edge.
- Step 6 (reference numeral 62) Local maxima are identified within the blurred ILP coefficients, as shown in figure 3.
- the cluster content descriptors may be used to match corresponding features of two separate images.
- a cluster content descriptor may be used to determine whether or not a particular target feature occurs or does not occur in a sample image.
- Our match method is split into two stages: a) estimation of a homography that transforms the target features onto the image features, and b) generation of a metric that rates and/or "fine-tunes" the final set of potential matches.
- Geometric hashing provides a fast measure to reduce a large number of affine transformation hypotheses down to a reasonable number. We now wish to apply a metric to the remaining candidates to find the best matches.
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Apparatus For Radiation Diagnosis (AREA)
- Image Analysis (AREA)
Abstract
L'invention concerne un procédé d'identification de caractéristiques linéaires à l'intérieur d'une image utilisant une transformée à échelles multiples telle qu'une transformée d'ondelettes complexes à double arborescence. Des produits de mêmes niveaux et de niveaux intermédiaires sont calculés, et l'existence d'une caractéristique à l'intérieur de l'image est identifiée à un emplacement de magnitude de produits de niveaux intermédiaires localement élevée et cohérente. La caractéristique est ensuite étendue depuis cet emplacement dans une direction déterminée par la phase locale de produits de mêmes niveaux, pour générer un segment de ligne.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB0613569.3 | 2006-07-07 | ||
GBGB0613569.3A GB0613569D0 (en) | 2006-07-07 | 2006-07-07 | Method of identifying linear features within an image |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2008003985A2 true WO2008003985A2 (fr) | 2008-01-10 |
WO2008003985A3 WO2008003985A3 (fr) | 2008-08-07 |
Family
ID=36926668
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/GB2007/002549 WO2008003985A2 (fr) | 2006-07-07 | 2007-07-09 | procédé d'identification de caractéristiques linéaires à l'intérieur d'une image |
Country Status (2)
Country | Link |
---|---|
GB (1) | GB0613569D0 (fr) |
WO (1) | WO2008003985A2 (fr) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101715097B (zh) * | 2008-09-29 | 2012-01-04 | 索尼株式会社 | 图像处理设备和系数学习设备 |
US8866924B2 (en) | 2011-10-28 | 2014-10-21 | Hewlett-Packard Development Company, L.P. | Local image feature descriptors according to circular distribution information |
CN104200433A (zh) * | 2014-08-25 | 2014-12-10 | 北京京北方信息技术有限公司 | 一种图像二维离散小波变换的扫描方法和装置 |
CN104077765B (zh) * | 2013-03-26 | 2017-03-01 | 富士通株式会社 | 图像分割装置、图像分割方法 |
CN109033967A (zh) * | 2018-06-26 | 2018-12-18 | 中国林业科学研究院资源信息研究所 | 一种林木密闭度测算的方法和装置 |
-
2006
- 2006-07-07 GB GBGB0613569.3A patent/GB0613569D0/en not_active Ceased
-
2007
- 2007-07-09 WO PCT/GB2007/002549 patent/WO2008003985A2/fr active Application Filing
Non-Patent Citations (1)
Title |
---|
RYAN ANDERSON, NICK KINGSBURY: "Robust image features from complex wavelet phases" 10 February 2006 (2006-02-10), BRITISH MACHINE VISION ASSOCIATION , XP002482913 Retrieved from the Internet: URL:http://www.bmva.ac.uk/meetings/06/01mar/AndersonCambridge.pdf> [retrieved on 2008-06-04] the whole document * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101715097B (zh) * | 2008-09-29 | 2012-01-04 | 索尼株式会社 | 图像处理设备和系数学习设备 |
US8866924B2 (en) | 2011-10-28 | 2014-10-21 | Hewlett-Packard Development Company, L.P. | Local image feature descriptors according to circular distribution information |
CN104077765B (zh) * | 2013-03-26 | 2017-03-01 | 富士通株式会社 | 图像分割装置、图像分割方法 |
CN104200433A (zh) * | 2014-08-25 | 2014-12-10 | 北京京北方信息技术有限公司 | 一种图像二维离散小波变换的扫描方法和装置 |
CN104200433B (zh) * | 2014-08-25 | 2017-07-28 | 京北方信息技术股份有限公司 | 一种图像二维离散小波变换的扫描方法和装置 |
CN109033967A (zh) * | 2018-06-26 | 2018-12-18 | 中国林业科学研究院资源信息研究所 | 一种林木密闭度测算的方法和装置 |
Also Published As
Publication number | Publication date |
---|---|
WO2008003985A3 (fr) | 2008-08-07 |
GB0613569D0 (en) | 2006-08-16 |
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