CN104181170B - 基于光谱图像分析的水果外表检测方法 - Google Patents
基于光谱图像分析的水果外表检测方法 Download PDFInfo
- Publication number
- CN104181170B CN104181170B CN201410452879.3A CN201410452879A CN104181170B CN 104181170 B CN104181170 B CN 104181170B CN 201410452879 A CN201410452879 A CN 201410452879A CN 104181170 B CN104181170 B CN 104181170B
- Authority
- CN
- China
- Prior art keywords
- image
- fruit
- wave band
- spectral
- analysis
- 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
- 235000013399 edible fruits Nutrition 0.000 title claims abstract description 44
- 230000003595 spectral effect Effects 0.000 title claims abstract description 41
- 238000001514 detection method Methods 0.000 title claims abstract description 39
- 238000010191 image analysis Methods 0.000 title claims abstract description 16
- 238000001228 spectrum Methods 0.000 claims abstract description 53
- 230000006378 damage Effects 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 11
- 238000000513 principal component analysis Methods 0.000 claims abstract description 6
- 230000011218 segmentation Effects 0.000 claims abstract description 6
- 238000003709 image segmentation Methods 0.000 claims abstract description 4
- 238000007689 inspection Methods 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 230000006978 adaptation Effects 0.000 claims description 2
- 240000000902 Diospyros discolor Species 0.000 claims 1
- 230000003044 adaptive effect Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 244000287680 Garcinia dulcis Species 0.000 description 2
- 239000000470 constituent Substances 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 238000013095 identification testing Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000002329 infrared spectrum Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- 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
- G06T7/0008—Industrial image inspection checking presence/absence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
-
- 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
- G06T2207/30128—Food products
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
Description
Claims (5)
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610404689.3A CN105891229A (zh) | 2014-09-05 | 2014-09-05 | 确定水果外表进行光谱图像分析检测所用特征波长的方法 |
CN201410452879.3A CN104181170B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
CN201610404811.7A CN105891230B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410452879.3A CN104181170B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
Related Child Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610404811.7A Division CN105891230B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
CN201610404689.3A Division CN105891229A (zh) | 2014-09-05 | 2014-09-05 | 确定水果外表进行光谱图像分析检测所用特征波长的方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104181170A CN104181170A (zh) | 2014-12-03 |
CN104181170B true CN104181170B (zh) | 2016-08-17 |
Family
ID=51962393
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610404689.3A Pending CN105891229A (zh) | 2014-09-05 | 2014-09-05 | 确定水果外表进行光谱图像分析检测所用特征波长的方法 |
CN201410452879.3A Active CN104181170B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
CN201610404811.7A Active CN105891230B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610404689.3A Pending CN105891229A (zh) | 2014-09-05 | 2014-09-05 | 确定水果外表进行光谱图像分析检测所用特征波长的方法 |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610404811.7A Active CN105891230B (zh) | 2014-09-05 | 2014-09-05 | 基于光谱图像分析的水果外表检测方法 |
Country Status (1)
Country | Link |
---|---|
CN (3) | CN105891229A (zh) |
Families Citing this family (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105784712B (zh) * | 2016-02-29 | 2018-07-17 | 东华大学 | 一种采用接触式图像传感器的自动验布方法 |
CN105699386B (zh) * | 2016-02-29 | 2019-02-26 | 东华大学 | 一种采用接触式图像传感器的自动验布标记方法 |
CN105738376B (zh) * | 2016-02-29 | 2018-07-17 | 东华大学 | 一种采用接触式图像传感器的自动验布机 |
CN106332713B (zh) * | 2016-08-16 | 2019-06-11 | 浙江科技学院 | 一种sd-oct图像的枇杷早期瘀伤鉴别方法 |
CN106780347B (zh) * | 2017-02-09 | 2020-03-03 | 浙江科技学院 | 一种基于oct图像处理的枇杷早期瘀伤鉴别方法 |
CN107505325B (zh) * | 2017-08-18 | 2023-04-25 | 西北农林科技大学 | 冬枣果实的全方位品质检测方法 |
CN109272030A (zh) * | 2018-09-03 | 2019-01-25 | 贵阳学院 | 基于光纤光谱技术的苹果表面早期损伤快速无损识别方法 |
CN109270022B (zh) * | 2018-09-14 | 2020-03-10 | 山东大学 | 一种近红外光谱模型的波段选择方法及模型构建方法 |
CN114965316A (zh) * | 2022-05-17 | 2022-08-30 | 中国科学院西安光学精密机械研究所 | 一种基于高光谱多参数的水质监测方法、计算机程序产品 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5339963A (en) * | 1992-03-06 | 1994-08-23 | Agri-Tech, Incorporated | Method and apparatus for sorting objects by color |
CN101131734A (zh) * | 2007-06-25 | 2008-02-27 | 北京航空航天大学 | 适用于高光谱遥感图像的自动波段选择方法 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5568444B2 (ja) * | 2010-11-01 | 2014-08-06 | 株式会社日立ハイテクノロジーズ | 欠陥検査方法、微弱光検出方法および微弱光検出器 |
CN102495005B (zh) * | 2011-11-17 | 2013-05-08 | 江苏大学 | 高光谱图像技术诊断作物水分亏缺的方法 |
CN102890092B (zh) * | 2012-10-12 | 2014-12-17 | 浙江大学 | 利用特征角余弦值检测水蜜桃褐腐病缺陷的方法 |
CN103278464B (zh) * | 2013-04-18 | 2015-10-21 | 北京工商大学 | 鱼肉检测方法和装置 |
-
2014
- 2014-09-05 CN CN201610404689.3A patent/CN105891229A/zh active Pending
- 2014-09-05 CN CN201410452879.3A patent/CN104181170B/zh active Active
- 2014-09-05 CN CN201610404811.7A patent/CN105891230B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5339963A (en) * | 1992-03-06 | 1994-08-23 | Agri-Tech, Incorporated | Method and apparatus for sorting objects by color |
CN101131734A (zh) * | 2007-06-25 | 2008-02-27 | 北京航空航天大学 | 适用于高光谱遥感图像的自动波段选择方法 |
Non-Patent Citations (2)
Title |
---|
农业工程学报;黄文倩等;《农业工程学报》;20130131;第29卷(第1期);第275页第3段-第276页第1段 * |
基于高光谱图像技术的水蜜桃表面缺陷检测方法研究;陈思;《中国优秀硕士学位论文全文数据库信息科技辑》;20130515(第5期);第26页第1段-第2段 * |
Also Published As
Publication number | Publication date |
---|---|
CN105891230B (zh) | 2018-06-01 |
CN104181170A (zh) | 2014-12-03 |
CN105891230A (zh) | 2016-08-24 |
CN105891229A (zh) | 2016-08-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104181170B (zh) | 基于光谱图像分析的水果外表检测方法 | |
Chen et al. | Colored rice quality inspection system using machine vision | |
CN102288613B (zh) | 一种灰度和深度信息融合的表面缺陷检测方法 | |
CN102254174B (zh) | 崩滑体中裸地信息的自动提取方法 | |
Chen et al. | The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images | |
CN104504686A (zh) | 一种采用局部自适应阈值分割的高光谱图像异常探测方法 | |
CN103914692B (zh) | 一种用于煤矿周围地表水系的遥感识别方法 | |
CN112699756B (zh) | 一种基于高光谱图像的茶叶原产地识别方法和系统 | |
CN104680550A (zh) | 一种通过图像特征点的轴承表面瑕疵检测的方法 | |
Tian et al. | Study on the methods of detecting cucumber downy mildew using hyperspectral imaging technology | |
Chen et al. | A mathematical morphology-based multi-level filter of LiDAR data for generating DTMs | |
CN110490895A (zh) | 一种基于高光谱图像处理的提高肉源真伪鉴别正确率方法 | |
CN116630225B (zh) | 一种铁路桥梁水下基础损伤识别方法、装置以及处理设备 | |
CN111122590A (zh) | 一种陶瓷表面缺陷检测装置及检测方法 | |
Lin et al. | Convolutional neural networks for face anti-spoofing and liveness detection | |
CN109682821B (zh) | 一种基于多尺度高斯函数的柑橘表面缺陷检测方法 | |
Gill et al. | Quality-assured fingerprint image enhancement and extraction using hyperspectral imaging | |
CN105139034A (zh) | 一种结合光谱滤除的船舶检测方法 | |
CN109870730A (zh) | 一种用于x光机图像解析度测试体定检的方法及系统 | |
Erener et al. | A methodology for land use change detection of high resolution pan images based on texture analysis | |
CN105678229B (zh) | 一种高光谱影像检索方法 | |
CN117197554A (zh) | 一种变压器漏油实时检测方法及系统 | |
Kim et al. | A novel red apple detection algorithm based on adaboost learning | |
CN102750547A (zh) | 一种基于压缩传感的水果大小分级方法 | |
CN115713762A (zh) | 水果分级方法、装置、电子设备、分拣系统和存储介质 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20181122 Address after: 313000 286, Shuikou Town, Shuikou village, Nanxun Town, Huzhou City, Zhejiang Patentee after: Zhejiang Hanguang Environmental Protection Technology Co., Ltd. Address before: 528500 Six 102, 183 Wenchang Road, Hecheng Street, Gaoming District, Foshan City, Guangdong Province Patentee before: Xiong Julian |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20190404 Address after: 422700 Yongan Industrial Park, Guanpu Community, Jinshi Town, Xinning County, Shaoyang City, Hunan Province Patentee after: Hunan Xinning Langshan Fruit Industry Co., Ltd. Address before: 313000 286, Shuikou Town, Shuikou village, Nanxun Town, Huzhou City, Zhejiang Patentee before: Zhejiang Hanguang Environmental Protection Technology Co., Ltd. |