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The feasibility of early detection and grading of apple bruises using hyperspectral imaging

机译:利用高光谱成像的苹果瘀伤早期检测和分级的可行性

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Abstract >The ability to determine if an apple is bruised and to provide quantitative and objective descriptions of the degree of bruising is not the only important basis for assessing apple quality but also has significance for improving the postharvest handling of apples. In this study, segmented principal component analysis for hyperspectral images in the spectral range of 401 to 1037?nm was carried out, and seven characteristic wavelengths were selected based on the weight coefficients of the principal component images. By using the principal component analysis operations with the selected wavelengths and image processing methods, an accurate recognition algorithm for apple bruises was proposed. For 40 intact samples and 160 bruised samples, the average correct recognition rate was 99.1%. Moreover, this paper obtained the average spectra of 157 segmented bruised regions by applying a binary mask. A characteristic wavelength selection method that combines competitive adaptive reweighted sampling with correlation coefficient methods and supports vector machine modeling methods based on grid parameter optimization was put forward for the classification and identification of the bruising degrees of apples. The results showed that the classification accuracy was as high as 97.5% for the test set. Overall, this study demonstrated that hyperspectral imaging technology can be used to accurately and effectively identify early bruises and determine the bruising degree of apples, which provides a new method for on‐line, nondestructive detection, and grading of early bruises in apples. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译:</span><Abstract XMLNS =“http://www.wiley.com/namespaces/wiley”type =“main”xml:lang =“en”> <标题类型=“main”>抽象</ title> >确定苹果是否被擦伤并提供瘀伤程度的定量和客观描述的能力不是评估苹果品质的唯一重要依据,而且对改善苹果的采后处理具有重要意义。在该研究中,进行了401至1037Ω·Δnm的光谱范围内的高光谱图像的分段主成分分析,基于主成分图像的重量系数选择七个特征波长。通过使用具有所选波长和图像处理方法的主成分分析操作,提出了一种精确的苹果瘀伤识别算法。对于40个完整的样本和160个瘀伤样品,平均正确识别率为99.1%。此外,本文通过施加二进制掩模获得了157分段的布鲁大区的平均光谱。一种特征波长选择方法,将竞争自适应重新重量采样与相关系数方法相结合,支持基于网格参数优化的矢量机器建模方法,用于施加瘀衡苹果的分类和识别。结果表明,对测试集的分类准确度高达97.5%。总体而言,这项研究表明,高光谱成像技术可用于准确且有效地识别早期瘀伤并确定苹果的瘀伤程度,这为苹果中的早期瘀伤进行了新的在线,无损检测和渐变的新方法。</ P> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-33917/'>《Journal of Chemometrics》</a> <b style="margin: 0 2px;">|</b><span>2018年第10期</span><b style="margin: 0 2px;">|</b><span>共14页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Tan Wenyi&option=202" target="_blank" rel="nofollow">Tan Wenyi;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sun Laijun&option=202" target="_blank" rel="nofollow">Sun Laijun;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Yang Fei&option=202" target="_blank" rel="nofollow">Yang Fei;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Che Wenkai&option=202" target="_blank" rel="nofollow">Che Wenkai;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Ye Dandan&option=202" target="_blank" rel="nofollow">Ye Dandan;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zhang Dan&option=202" target="_blank" rel="nofollow">Zhang Dan;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zou Borui&option=202" target="_blank" rel="nofollow">Zou Borui;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>College of Electronics EngineeringHeilongjiang UniversityHarbin China;</p> <p>College of Electronics EngineeringHeilongjiang UniversityHarbin China;</p> <p>College of Information and Communication EngineeringHarbin Engineering UniversityHarbin China;</p> <p>College of Electronics EngineeringHeilongjiang UniversityHarbin China;</p> <p>College of Electronics EngineeringHeilongjiang UniversityHarbin China;</p> <p>College of Electronics EngineeringHeilongjiang UniversityHarbin China;</p> <p>College of Electronics EngineeringHeilongjiang UniversityHarbin China;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/159.html" title="化学">化学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=apple&option=203" rel="nofollow">apple;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=bruise detection&option=203" rel="nofollow">bruise detection;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=bruising degree classification&option=203" rel="nofollow">bruising degree classification;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=hyperspectral imaging&option=203" rel="nofollow">hyperspectral imaging;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=PCA&option=203" rel="nofollow">PCA;</a> </p> <div class="translation"> 机译:苹果;瘀伤检测;瘀伤程度分类;高光谱成像;PCA; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704025425711.html">The feasibility of early detection and grading of apple bruises using hyperspectral imaging</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Tan Wenyi&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Tan Wenyi,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sun Laijun&option=202" 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Throop </a> <span>1969</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译:一个光学苹果布鲁斯:检测技术</span> </p> </li> </ul> <ul style="display: none;"> <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/academic-journal-cn_spectroscopy-spectral-analysis_thesis/0201288554677.html">高光谱成像的水稻稻瘟病早期分级检测</a> <b>[J]</b> <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=康丽&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> . 康丽</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=袁建清&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,袁建清</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=高睿&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,高睿</a> <span> <a href="/journal-cn-11127/" target="_blank" rel="nofollow" class="tuijian_authcolor"> . 光谱学与光谱分析 </a> </span> <span> . 2021</span><span>,第003期</span> </span> </div> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/academic-journal-cn_transactions-chinese-society-agricultural-engineering_thesis/0201258162379.html">利用高光谱成像技术和多变量校正方法检测苹果的硬度</a> <b>[J]</b> <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=赵杰文&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> . 赵杰文</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=陈全胜&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,陈全胜</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Saritporn Vittayapadung&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,Saritporn Vittayapadung</a> <span> <a href="/journal-cn-6826/" target="_blank" rel="nofollow" class="tuijian_authcolor"> . 农业工程学报 </a> </span> <span> . 2009</span><span>,第011期</span> </span> </div> </li> <li> <div> <b>3. </b><a class="enjiyixqcontent" href="/academic-journal-cn_journal-xinjiang-agricultural-university_thesis/020121085068.html">基于高光谱成像技术的新疆冰糖心红富士苹果分级和糖度预测研究</a> <b>[J]</b> <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=郭俊先&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> . 郭俊先</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=饶秀勤&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,饶秀勤</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=程国首&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,程国首</a> <span> <a href="/journal-cn-7273/" target="_blank" rel="nofollow" class="tuijian_authcolor"> . 新疆农业大学学报 </a> </span> <span> . 2012</span><span>,第001期</span> </span> </div> </li> <li> <div> <b>4. </b><a class="enjiyixqcontent" href="/academic-journal-cn_shandong-agricultural-sciences_thesis/0201278062247.html">基于高光谱成像技术的富士苹果轻微机械损伤检测研究</a> <b>[J]</b> <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=沈宇&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> . 沈宇</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=房胜&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,房胜</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=郑纪业&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,郑纪业</a> <span> <a href="/journal-cn-14075/" target="_blank" rel="nofollow" class="tuijian_authcolor"> . 山东农业科学 </a> </span> <span> . 2020</span><span>,第002期</span> </span> </div> </li> <li> <div> <b>5. </b><a class="enjiyixqcontent" href="/academic-journal-cn_food-research-development_thesis/0201271095491.html">基于高光谱成像技术的苹果表面缺陷无损检测</a> <b>[J]</b> <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=孟庆龙&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> . 孟庆龙</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=张艳&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,张艳</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=尚静&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">,尚静</a> <span> <a href="/journal-cn-9400/" target="_blank" rel="nofollow" class="tuijian_authcolor"> . 食品研究与开发 </a> </span> <span> . 2019</span><span>,第005期</span> </span> </div> </li> <li> <div> <b>6. </b><a class="enjiyixqcontent" href="/academic-conference-cn_meeting-39704_thesis/020222394539.html">基于高光谱成像技术的苹果内部品质无损检测</a> <b>[C]</b> <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Jinlei Dong&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> . 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