CN114913100A - 一种基于图像分析的烟叶烘烤程度检测方法 - Google Patents
一种基于图像分析的烟叶烘烤程度检测方法 Download PDFInfo
- Publication number
- CN114913100A CN114913100A CN202210528455.5A CN202210528455A CN114913100A CN 114913100 A CN114913100 A CN 114913100A CN 202210528455 A CN202210528455 A CN 202210528455A CN 114913100 A CN114913100 A CN 114913100A
- Authority
- CN
- China
- Prior art keywords
- image
- matrix
- particle
- tobacco
- tobacco leaf
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 121
- 238000001514 detection method Methods 0.000 title claims abstract description 27
- 238000010191 image analysis Methods 0.000 title claims abstract description 20
- 244000061176 Nicotiana tabacum Species 0.000 title 1
- 241000208125 Nicotiana Species 0.000 claims abstract description 120
- 239000011159 matrix material Substances 0.000 claims abstract description 101
- 239000002245 particle Substances 0.000 claims abstract description 100
- 238000000034 method Methods 0.000 claims abstract description 58
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 11
- 238000009826 distribution Methods 0.000 claims description 32
- 230000003190 augmentative effect Effects 0.000 claims description 24
- 238000005457 optimization Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 7
- 230000035945 sensitivity Effects 0.000 claims description 5
- 230000003287 optical effect Effects 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 3
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 2
- 230000001143 conditioned effect Effects 0.000 claims 1
- 238000007781 pre-processing Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000010276 construction Methods 0.000 abstract description 2
- 238000000605 extraction Methods 0.000 abstract description 2
- 238000000926 separation method Methods 0.000 abstract description 2
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000001035 drying Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 210000003462 vein Anatomy 0.000 description 2
- 238000004383 yellowing Methods 0.000 description 2
- SNICXCGAKADSCV-JTQLQIEISA-N (-)-Nicotine Chemical compound CN1CCC[C@H]1C1=CC=CN=C1 SNICXCGAKADSCV-JTQLQIEISA-N 0.000 description 1
- 229920002472 Starch Polymers 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000001747 exhibiting effect Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012886 linear function Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 229960002715 nicotine Drugs 0.000 description 1
- SNICXCGAKADSCV-UHFFFAOYSA-N nicotine Natural products CN1CCCC1C1=CC=CN=C1 SNICXCGAKADSCV-UHFFFAOYSA-N 0.000 description 1
- 150000007524 organic acids Chemical class 0.000 description 1
- 239000000049 pigment Substances 0.000 description 1
- 230000007065 protein hydrolysis Effects 0.000 description 1
- 235000019698 starch Nutrition 0.000 description 1
- 239000008107 starch Substances 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 238000009941 weaving Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration using histogram techniques
-
- 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
- G06T7/70—Determining position or orientation of objects or cameras
-
- 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
- G06T2207/10024—Color image
-
- 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
- G06T2207/20076—Probabilistic image processing
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Manufacture Of Tobacco Products (AREA)
Abstract
Description
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210528455.5A CN114913100B (zh) | 2022-05-16 | 2022-05-16 | 一种基于图像分析的烟叶烘烤程度检测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210528455.5A CN114913100B (zh) | 2022-05-16 | 2022-05-16 | 一种基于图像分析的烟叶烘烤程度检测方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114913100A true CN114913100A (zh) | 2022-08-16 |
CN114913100B CN114913100B (zh) | 2023-09-15 |
Family
ID=82767646
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210528455.5A Active CN114913100B (zh) | 2022-05-16 | 2022-05-16 | 一种基于图像分析的烟叶烘烤程度检测方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114913100B (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115349654A (zh) * | 2022-08-23 | 2022-11-18 | 中国烟草总公司郑州烟草研究院 | 一种烟叶烘烤参数的标定方法 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140137877A1 (en) * | 2012-11-19 | 2014-05-22 | Altria Client Services Inc. | Blending of agricultural products via hyperspectral imaging and analysis |
CN106683178A (zh) * | 2016-12-30 | 2017-05-17 | 天津大学 | 基于图论的低秩矩阵恢复三维骨架方法 |
CN110287819A (zh) * | 2019-06-05 | 2019-09-27 | 大连大学 | 动态背景下基于低秩及稀疏分解的动目标检测方法 |
CN110414598A (zh) * | 2019-07-26 | 2019-11-05 | 国家消防工程技术研究中心 | 烟雾检测方法、装置、计算机及存储介质 |
CN112818827A (zh) * | 2021-01-28 | 2021-05-18 | 贵州省烟草科学研究院 | 基于图像识别的烟叶烘烤过程中阶段控温点的判断方法 |
CN113358647A (zh) * | 2021-05-18 | 2021-09-07 | 景延秋 | 一种烟草烘烤数据预测监控模型建立方法 |
CN113919443A (zh) * | 2021-02-24 | 2022-01-11 | 北京优创新港科技股份有限公司 | 一种基于图像分析烟叶成熟度状态概率计算方法 |
-
2022
- 2022-05-16 CN CN202210528455.5A patent/CN114913100B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140137877A1 (en) * | 2012-11-19 | 2014-05-22 | Altria Client Services Inc. | Blending of agricultural products via hyperspectral imaging and analysis |
CN106683178A (zh) * | 2016-12-30 | 2017-05-17 | 天津大学 | 基于图论的低秩矩阵恢复三维骨架方法 |
CN110287819A (zh) * | 2019-06-05 | 2019-09-27 | 大连大学 | 动态背景下基于低秩及稀疏分解的动目标检测方法 |
CN110414598A (zh) * | 2019-07-26 | 2019-11-05 | 国家消防工程技术研究中心 | 烟雾检测方法、装置、计算机及存储介质 |
CN112818827A (zh) * | 2021-01-28 | 2021-05-18 | 贵州省烟草科学研究院 | 基于图像识别的烟叶烘烤过程中阶段控温点的判断方法 |
CN113919443A (zh) * | 2021-02-24 | 2022-01-11 | 北京优创新港科技股份有限公司 | 一种基于图像分析烟叶成熟度状态概率计算方法 |
CN113358647A (zh) * | 2021-05-18 | 2021-09-07 | 景延秋 | 一种烟草烘烤数据预测监控模型建立方法 |
Non-Patent Citations (3)
Title |
---|
刘倩男: "基于视频的人群异常检测方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, pages 1 - 48 * |
焦孟君: "视频序列图像中运动目标检测与跟踪算法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, pages 1 - 53 * |
王浮波等: "刍议高光谱遥感技术在烟叶生产中的应用前景", 《智慧农业导刊》, vol. 1, no. 14, pages 4 - 6 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115349654A (zh) * | 2022-08-23 | 2022-11-18 | 中国烟草总公司郑州烟草研究院 | 一种烟叶烘烤参数的标定方法 |
Also Published As
Publication number | Publication date |
---|---|
CN114913100B (zh) | 2023-09-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109872285B (zh) | 一种基于变分约束的Retinex低照度彩色图像增强方法 | |
Yu et al. | Automatic grading of apples based on multi-features and weighted K-means clustering algorithm | |
CN109685045B (zh) | 一种运动目标视频跟踪方法及系统 | |
Wang et al. | Enhancing low light videos by exploring high sensitivity camera noise | |
CN112818827B (zh) | 基于图像识别的烟叶烘烤过程中阶段控温点的判断方法 | |
CN111080675B (zh) | 一种基于时空约束相关滤波的目标跟踪方法 | |
CN111242878B (zh) | 基于布谷鸟搜索的矿井下图像增强方法 | |
CN109978848B (zh) | 基于多光源颜色恒常模型检测眼底图像中硬性渗出的方法 | |
CN110570365A (zh) | 基于先验信息的图像去雾方法 | |
CN108172278B (zh) | 一种he染色病理图像颜色归一化方法 | |
CN105046202B (zh) | 自适应的人脸识别光照处理方法 | |
CN111489330B (zh) | 基于多源信息融合的弱小目标检测方法 | |
CN111882555B (zh) | 基于深度学习的网衣检测方法、装置、设备及存储介质 | |
CN110807742A (zh) | 一种基于一体式网络的微光图像增强方法 | |
CN113313702A (zh) | 基于边界约束与颜色校正的航拍图像去雾方法 | |
CN114913100B (zh) | 一种基于图像分析的烟叶烘烤程度检测方法 | |
CN115457249A (zh) | 红外图像与可见光图像融合匹配的方法及系统 | |
CN116524224A (zh) | 一种基于机器视觉的烤后烟叶类型检测方法及系统 | |
CN110009708B (zh) | 基于图像色彩分割的发色变换方法、系统及终端 | |
CN111738931A (zh) | 光伏阵列无人机航拍图像的阴影去除算法 | |
CN107808391A (zh) | 一种基于特征选择与光滑表示聚类的视频动态目标提取方法 | |
Luo et al. | Shadow removal based on clustering correction of illumination field for urban aerial remote sensing images | |
CN112288726A (zh) | 一种井下带式输送机带面异物检测方法 | |
Yang et al. | Detail-aware near infrared and visible fusion with multi-order hyper-Laplacian priors | |
CN112365425A (zh) | 一种低照度图像增强方法和系统 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB03 | Change of inventor or designer information |
Inventor after: Jing Yanqiu Inventor after: Gu Huizhan Inventor after: Yang Xingyou Inventor after: Li Junju Inventor after: Liu Ting Inventor after: Xie Liangwen Inventor after: Li Chunguang Inventor after: Sun Mi Inventor after: Yu Xiangwen Inventor after: Xie Yunbo Inventor after: Liu Haibing Inventor after: Li Bin Inventor after: Lei Qiang Inventor after: Guo Shiping Inventor after: Yu Baohua Inventor after: Yin Hongfei Inventor after: Li Yaoguang Inventor after: He Jixian Inventor before: Jing Yanqiu Inventor before: Li Yaoguang Inventor before: Gu Huizhan Inventor before: Yang Xingyou Inventor before: He Jixian Inventor before: Li Junju Inventor before: Liu Ting Inventor before: Guo Shiping Inventor before: Xie Liangwen Inventor before: Yu Xiangwen Inventor before: Lei Qiang Inventor before: Yu Baohua Inventor before: Yin Hongfei Inventor before: Li Bin Inventor before: Xie Yunbo Inventor before: Liu Haibing Inventor before: Li Chunguang Inventor before: Sun Mi |
|
CB03 | Change of inventor or designer information | ||
GR01 | Patent grant | ||
GR01 | Patent grant |