CN109460781B - 一种基于决策树归纳学习的牛排等级划分方法 - Google Patents
一种基于决策树归纳学习的牛排等级划分方法 Download PDFInfo
- Publication number
- CN109460781B CN109460781B CN201811227345.5A CN201811227345A CN109460781B CN 109460781 B CN109460781 B CN 109460781B CN 201811227345 A CN201811227345 A CN 201811227345A CN 109460781 B CN109460781 B CN 109460781B
- Authority
- CN
- China
- Prior art keywords
- image
- gray
- decision tree
- steak
- function
- 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.)
- Active
Links
- 238000003066 decision tree Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 18
- 235000004348 Perilla frutescens Nutrition 0.000 title claims abstract description 10
- 244000124853 Perilla frutescens Species 0.000 title claims abstract description 10
- 230000006698 induction Effects 0.000 title claims abstract description 5
- 210000003205 muscle Anatomy 0.000 claims abstract description 18
- 230000011218 segmentation Effects 0.000 claims abstract description 12
- 230000001939 inductive effect Effects 0.000 claims abstract description 10
- 238000009826 distribution Methods 0.000 claims abstract description 8
- 235000015278 beef Nutrition 0.000 claims abstract description 7
- 238000012360 testing method Methods 0.000 claims abstract description 6
- 239000004579 marble Substances 0.000 claims abstract description 5
- 238000005314 correlation function Methods 0.000 claims abstract description 4
- 238000007781 pre-processing Methods 0.000 claims abstract description 4
- 230000006870 function Effects 0.000 claims description 15
- 238000012549 training Methods 0.000 claims description 14
- 238000005311 autocorrelation function Methods 0.000 claims description 8
- 238000001914 filtration Methods 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 4
- 239000013598 vector Substances 0.000 claims description 4
- 230000005484 gravity Effects 0.000 claims description 2
- 238000013507 mapping Methods 0.000 claims description 2
- 239000011159 matrix material Substances 0.000 claims description 2
- 238000001228 spectrum Methods 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 abstract description 8
- 238000010923 batch production Methods 0.000 abstract description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013145 classification model Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- 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
- G06T2207/10004—Still image; Photographic image
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (4)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811227345.5A CN109460781B (zh) | 2018-10-20 | 2018-10-20 | 一种基于决策树归纳学习的牛排等级划分方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811227345.5A CN109460781B (zh) | 2018-10-20 | 2018-10-20 | 一种基于决策树归纳学习的牛排等级划分方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109460781A CN109460781A (zh) | 2019-03-12 |
CN109460781B true CN109460781B (zh) | 2022-08-19 |
Family
ID=65607958
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811227345.5A Active CN109460781B (zh) | 2018-10-20 | 2018-10-20 | 一种基于决策树归纳学习的牛排等级划分方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109460781B (zh) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110973440A (zh) * | 2019-12-31 | 2020-04-10 | 石家庄市惠康食品有限公司 | 一种牛肉套皮的制作方法 |
CN115393659B (zh) * | 2022-10-27 | 2023-01-24 | 珠海横琴圣澳云智科技有限公司 | 基于多级决策树的个性化分类流程优化方法和装置 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106780504A (zh) * | 2017-01-22 | 2017-05-31 | 中国农业大学 | 一种基于距离保持水平集的牛肉图像中背长肌自动分割方法 |
CN107194937A (zh) * | 2017-05-27 | 2017-09-22 | 厦门大学 | 一种开放环境下中医舌象图像分割方法 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140233826A1 (en) * | 2011-09-27 | 2014-08-21 | Board Of Regents Of The University Of Texas System | Systems and methods for automated screening and prognosis of cancer from whole-slide biopsy images |
WO2017054775A1 (en) * | 2015-09-30 | 2017-04-06 | Shanghai United Imaging Healthcare Co., Ltd. | System and method for determining a breast region in a medical image |
-
2018
- 2018-10-20 CN CN201811227345.5A patent/CN109460781B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106780504A (zh) * | 2017-01-22 | 2017-05-31 | 中国农业大学 | 一种基于距离保持水平集的牛肉图像中背长肌自动分割方法 |
CN107194937A (zh) * | 2017-05-27 | 2017-09-22 | 厦门大学 | 一种开放环境下中医舌象图像分割方法 |
Non-Patent Citations (6)
Title |
---|
"基于图像的牛肉大理石纹理自动评级方法研究";李玮姿;《食品科学》;20110515(第05期);40-45 * |
Boosting优化决策树的带钢表面缺陷识别技术;杨水山等;《红外与激光工程》;20101025(第05期);954-957 * |
基于Bayes的竹片颜色检测分级方法;丁幼春等;《华中农业大学学报》;20091215(第06期);767-770 * |
基于图像处理和支持向量机分类的牛肉大理石花纹等级评定;刘木华等;《沈阳农业大学学报》;20051225(第06期);650-654 * |
基于纹理特征的道路图像分类;赵楠等;《电脑知识与技术》;20090825(第24期);6988-6990 * |
基于边缘检测与改进最大类间方差法的火箭序列图像分割算法;孙艳忠等;《计算机应用》;20091101(第11期);3027-3033 * |
Also Published As
Publication number | Publication date |
---|---|
CN109460781A (zh) | 2019-03-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107657279B (zh) | 一种基于少量样本的遥感目标检测方法 | |
CN105574063B (zh) | 基于视觉显著性的图像检索方法 | |
Kang et al. | The comparative research on image segmentation algorithms | |
CN110837768B (zh) | 一种面向珍稀动物保护的在线检测与识别方法 | |
CN105574534A (zh) | 基于稀疏子空间聚类和低秩表示的显著性目标检测方法 | |
CN105303150B (zh) | 实现图像处理的方法和*** | |
CN104680127A (zh) | 手势识别方法及*** | |
CN108537751B (zh) | 一种基于径向基神经网络的甲状腺超声图像自动分割方法 | |
CN111724355B (zh) | 一种鲍鱼体型参数的图像测量方法 | |
CN107230203A (zh) | 基于人眼视觉注意机制的铸件缺陷识别方法 | |
CN105005565B (zh) | 现场鞋底痕迹花纹图像检索方法 | |
CN102254303A (zh) | 遥感图像分割方法及遥感图像检索方法 | |
CN105243139A (zh) | 一种基于深度学习的三维模型检索方法及其检索装置 | |
CN109460781B (zh) | 一种基于决策树归纳学习的牛排等级划分方法 | |
CN108009557A (zh) | 一种基于共享权重卷积网络的三维模型局部特征描述方法 | |
CN106778897B (zh) | 基于余弦距离和中心轮廓距离的两次植物物种识别方法 | |
CN108230313B (zh) | 基于部件自适应选择与判别模型的sar图像目标检测方法 | |
CN114863125A (zh) | 一种书法/美术作品智能评分方法及*** | |
CN106056161A (zh) | 一种针对平面旋转目标的视觉检测方法 | |
Dong et al. | Fusing multilevel deep features for fabric defect detection based NTV-RPCA | |
CN117237954B (zh) | 一种基于排序学习的文字智能评分方法及*** | |
CN109741351A (zh) | 一种基于深度学习的类别敏感型边缘检测方法 | |
CN105528791B (zh) | 一种面向触摸屏手绘图像的质量评价装置及其评价方法 | |
CN109918783B (zh) | 一种智能化的制衣设计*** | |
CN105844299A (zh) | 一种基于词袋模型的图像分类方法 |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20220728 Address after: 201716 No. 16, Lane 89, zhengxia Road, Liantang Town, Qingpu District, Shanghai Applicant after: SHANGHAI RUIXUAN FOOD Co.,Ltd. Address before: 265700 No. 218 Huancheng North Road, Donglai Street, Longkou City, Yantai City, Shandong Province Applicant before: LONGKOU WEIMEISI ENVIRONMENTAL PROTECTION TECHNOLOGY Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A steak grading method based on decision tree inductive learning Granted publication date: 20220819 Pledgee: Shanghai Rural Commercial Bank Co.,Ltd. Qingpu sub branch Pledgor: SHANGHAI RUIXUAN FOOD Co.,Ltd. Registration number: Y2024310000400 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |