CN106683094A - 木质单板裂缝外观质量评价方法 - Google Patents
木质单板裂缝外观质量评价方法 Download PDFInfo
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- CN106683094A CN106683094A CN201710022024.0A CN201710022024A CN106683094A CN 106683094 A CN106683094 A CN 106683094A CN 201710022024 A CN201710022024 A CN 201710022024A CN 106683094 A CN106683094 A CN 106683094A
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- wooden veneer
- crack
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- wooden
- veneer
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 239000002023 wood Substances 0.000 title abstract description 12
- 238000013441 quality evaluation Methods 0.000 title abstract description 6
- 238000011156 evaluation Methods 0.000 claims abstract description 29
- 238000003672 processing method Methods 0.000 abstract 1
- 239000000463 material Substances 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000002845 discoloration Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000010410 layer Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 239000011120 plywood Substances 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
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- Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
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CN201710022024.0A CN106683094B (zh) | 2017-01-12 | 2017-01-12 | 木质单板裂缝外观质量评价方法 |
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CN201710022024.0A CN106683094B (zh) | 2017-01-12 | 2017-01-12 | 木质单板裂缝外观质量评价方法 |
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CN106683094A true CN106683094A (zh) | 2017-05-17 |
CN106683094B CN106683094B (zh) | 2019-09-17 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107315015A (zh) * | 2017-07-08 | 2017-11-03 | 北京林业大学 | 基于结构激光扫描技术的锯材表面缺陷的研究方法 |
CN107345915A (zh) * | 2017-07-08 | 2017-11-14 | 北京林业大学 | 一种基于结构激光扫描技术的锯材表面缺陷的研究方法 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104457569A (zh) * | 2014-11-27 | 2015-03-25 | 大连理工大学 | 一种大型复合板材几何参数视觉测量方法 |
CN105956393A (zh) * | 2016-04-27 | 2016-09-21 | 北京首钢自动化信息技术有限公司 | 一种板材质量检测实时计算系统及其方法 |
US20160274022A1 (en) * | 2015-03-18 | 2016-09-22 | CENTRE DE RECHERCHE INDUSTRIELLE DU QUéBEC | Optical method and apparatus for identifying wood species of a raw wooden log |
CN106203351A (zh) * | 2016-07-13 | 2016-12-07 | 南京工大建设工程技术有限公司 | 裂缝智能识别分类的方法 |
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2017
- 2017-01-12 CN CN201710022024.0A patent/CN106683094B/zh active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104457569A (zh) * | 2014-11-27 | 2015-03-25 | 大连理工大学 | 一种大型复合板材几何参数视觉测量方法 |
US20160274022A1 (en) * | 2015-03-18 | 2016-09-22 | CENTRE DE RECHERCHE INDUSTRIELLE DU QUéBEC | Optical method and apparatus for identifying wood species of a raw wooden log |
CN105956393A (zh) * | 2016-04-27 | 2016-09-21 | 北京首钢自动化信息技术有限公司 | 一种板材质量检测实时计算系统及其方法 |
CN106203351A (zh) * | 2016-07-13 | 2016-12-07 | 南京工大建设工程技术有限公司 | 裂缝智能识别分类的方法 |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107315015A (zh) * | 2017-07-08 | 2017-11-03 | 北京林业大学 | 基于结构激光扫描技术的锯材表面缺陷的研究方法 |
CN107345915A (zh) * | 2017-07-08 | 2017-11-14 | 北京林业大学 | 一种基于结构激光扫描技术的锯材表面缺陷的研究方法 |
CN107315015B (zh) * | 2017-07-08 | 2019-11-05 | 北京林业大学 | 基于结构激光扫描技术的锯材表面缺陷的研究方法 |
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Address after: 100029 Seventh Floor of Century Xingyuan Building, No. 20 Anyuan Road, Chaoyang District, Beijing Applicant after: BEIJING FORESTRY MACHINERY Research Institute OF THE STATE FORESTRY AND PRAIRIE ADMINISTRATION Address before: 100029 Seventh Floor of Century Xingyuan Building, No. 20 Anyuan Road, Chaoyang District, Beijing Applicant before: Beijing Forestry Machinery Research Institute of State Forestry Administration |
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Effective date of registration: 20240117 Address after: 100091 No. 2 east mansion, Beijing, Haidian District Patentee after: RESEARCH INSTITUTE OF WOOD INDUSTRY, CHINESE ACADEMY OF FORESTRY Address before: 100029, Beijing, Chaoyang District Court Road, No. 20 century Xingyuan building, seven floor Patentee before: BEIJING FORESTRY MACHINERY Research Institute OF THE STATE FORESTRY AND PRAIRIE ADMINISTRATION |