CN110335243A - 一种基于纹理对比的轮胎x光病疵检测方法 - Google Patents
一种基于纹理对比的轮胎x光病疵检测方法 Download PDFInfo
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- CN110335243A CN110335243A CN201910414699.9A CN201910414699A CN110335243A CN 110335243 A CN110335243 A CN 110335243A CN 201910414699 A CN201910414699 A CN 201910414699A CN 110335243 A CN110335243 A CN 110335243A
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- 230000007547 defect Effects 0.000 title claims abstract description 42
- 238000001514 detection method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 11
- 238000003708 edge detection Methods 0.000 claims abstract description 6
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000007689 inspection Methods 0.000 abstract description 8
- 230000001629 suppression Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
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- 238000004519 manufacturing process Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
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- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
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- 239000000463 material Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- 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
- G06T2207/10116—X-ray image
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
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- Analysing Materials By The Use Of Radiation (AREA)
Abstract
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CN201910414699.9A CN110335243B (zh) | 2019-05-17 | 2019-05-17 | 一种基于纹理对比的轮胎x光病疵检测方法 |
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CN201910414699.9A CN110335243B (zh) | 2019-05-17 | 2019-05-17 | 一种基于纹理对比的轮胎x光病疵检测方法 |
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Publication Number | Publication Date |
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CN110335243A true CN110335243A (zh) | 2019-10-15 |
CN110335243B CN110335243B (zh) | 2021-07-16 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110827272A (zh) * | 2019-11-13 | 2020-02-21 | 中国科学技术大学 | 一种基于图像处理的轮胎x光图像缺陷检测方法 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105335692A (zh) * | 2014-08-15 | 2016-02-17 | 软控股份有限公司 | 一种轮胎x光图像检测识别方法及*** |
CN105869135A (zh) * | 2015-01-19 | 2016-08-17 | 青岛软控机电工程有限公司 | 轮胎缺陷的检测方法和装置 |
CN107316300A (zh) * | 2017-07-17 | 2017-11-03 | 杭州盈格信息技术有限公司 | 一种基于深度卷积神经网络的轮胎x光病疵检测方法 |
CN108564563A (zh) * | 2018-03-07 | 2018-09-21 | 浙江大学 | 一种基于Faster R-CNN的轮胎X光病疵检测方法 |
CN109523518A (zh) * | 2018-10-24 | 2019-03-26 | 浙江工业大学 | 一种轮胎x光病疵检测方法 |
-
2019
- 2019-05-17 CN CN201910414699.9A patent/CN110335243B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105335692A (zh) * | 2014-08-15 | 2016-02-17 | 软控股份有限公司 | 一种轮胎x光图像检测识别方法及*** |
CN105869135A (zh) * | 2015-01-19 | 2016-08-17 | 青岛软控机电工程有限公司 | 轮胎缺陷的检测方法和装置 |
CN107316300A (zh) * | 2017-07-17 | 2017-11-03 | 杭州盈格信息技术有限公司 | 一种基于深度卷积神经网络的轮胎x光病疵检测方法 |
CN108564563A (zh) * | 2018-03-07 | 2018-09-21 | 浙江大学 | 一种基于Faster R-CNN的轮胎X光病疵检测方法 |
CN109523518A (zh) * | 2018-10-24 | 2019-03-26 | 浙江工业大学 | 一种轮胎x光病疵检测方法 |
Non-Patent Citations (7)
Title |
---|
QIANG GUO等: "Defect Detection in Tire X-Ray Images Using Weighted Texture Dissimilarity", 《HINDAWI》 * |
SHUAI ZHAO等: "Tire X-ray Image Impurity Detection Based on Multiple Kernel Learning", 《SPRINGERLINK》 * |
XIUNAN ZHENG等: "Detection of Impurity and Bubble Defects in Tire X-Ray Image Based on Improved Extremum Filter and Locally Adaptive-threshold Binaryzation", 《2018 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC)》 * |
张潘杰等: "基于穿线法的轮胎帘线断裂缺陷检测", 《济南大学学报(自然科学版)》 * |
朱越等: "全钢子午线轮胎缺陷识别***的研制", 《光电工程》 * |
郑修楠等: "基于穿线法的轮胎帘线弯曲缺陷检测", 《济南大学学报(自然科学版)》 * |
陈仁龙等: "基于穿线法的轮胎胎侧帘线稀疏缺陷的检测", 《济南大学学报(自然科学版)》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110827272A (zh) * | 2019-11-13 | 2020-02-21 | 中国科学技术大学 | 一种基于图像处理的轮胎x光图像缺陷检测方法 |
CN110827272B (zh) * | 2019-11-13 | 2022-09-02 | 中国科学技术大学 | 一种基于图像处理的轮胎x光图像缺陷检测方法 |
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Effective date of registration: 20211208 Address after: 310000 room 604-605, building 16, No. 57, Science Park, Baiyang street, Hangzhou Economic and Technological Development Zone, Zhejiang Province Patentee after: HANGZHOU YINGGE INFORMATION TECHNOLOGY CO.,LTD. Address before: 310018 room 9, room 1213-1218, building 17, No. 57, kejiyuan Road, Baiyang street, Hangzhou Economic and Technological Development Zone, Zhejiang Province Patentee before: Hangzhou Data Point Gold Technology Co.,Ltd. |
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Denomination of invention: A tire X-ray defect detection method based on texture comparison Granted publication date: 20210716 Pledgee: Bank of Hangzhou Limited by Share Ltd. science and Technology Branch Pledgor: HANGZHOU YINGGE INFORMATION TECHNOLOGY CO.,LTD. Registration number: Y2024980007889 |
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