Journal of Spectral Imaging最新文献

{"title":"White light emitting diode correlated colour temperature influence on image analysis in Sala mango quality\u0000assessment","authors":"W. Chiong, A. Omar, M. MatJafri","doi":"10.1255/JSI.2018.A11","DOIUrl":"https://doi.org/10.1255/JSI.2018.A11","url":null,"abstract":"Colour analysis is one of the common techniques used in assessing fruits quality, especially for types of fruit that\u0000have a natural transformation in peel colour according to the stage of maturity and ripening. Imaging through RGB analysis\u0000is a popular method employed in colour analysis of fruit. Colour observed by human or machine vision is highly depended\u0000on ambient lighting, whether in its intensity or the hue of the white illumination source. Hence, the objective of this research\u0000 is to provide some brief experimental findings on the influence of light emitting diode correlated colour temperature in\u0000transforming the colour perceived from the image of Sala mango and the RGB algorithm in predicting the fruits’ pH and\u0000soluble solid content.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47062004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of leghaemoglobin content in pea nodules based on near infrared hyperspectral imaging spectroscopy\u0000and chemometrics","authors":"Damien Eylenbosch, B. Dumont, V. Baeten, B. Bodson, P. Delaplace, J. Pierna","doi":"10.1255/JSI.2018.A9","DOIUrl":"https://doi.org/10.1255/JSI.2018.A9","url":null,"abstract":"Leghaemoglobin content in nodules is closely related to the amount of nitrogen fixed by the legume–rhizobium\u0000symbiosis. It is, therefore, commonly measured in order to assess the effect of growth-promoting parameters such as\u0000fertilisation on the symbiotic nitrogen fixation efficiency of legumes. The cyanmethaemoglobin method is a reference\u0000method in leghaemoglobin content quantification, but this method is time-consuming, requires accurate and careful\u0000technical operations and uses cyanide, a toxic reagent. As a quicker, simpler and non-destructive alternative, a method\u0000based on near infrared (NIR) hyperspectral imaging was tested to quantify leghaemoglobin in dried nodules. Two\u0000approaches were evaluated: (i) the partial least squares (PLS) approach was applied to the full spectrum acquired with\u0000the hyperspectral device and (ii) the potential of multispectral imaging was also tested through the preselection of the most\u0000 relevant wavelengths and the building of a multiple linear regression model. The PLS approach was tested on mean\u0000spectra acquired from samples containing several nodules and acquired separately from individual nodules. Peas (Pisum\u0000sativum L.) were cultivated in a greenhouse. The nodules were harvested on four different dates in order to obtain\u0000variations in leghaemoglobin content. The leghaemoglobin content measured with the cyanmethaemoglobin method in fresh\u0000nodules ranged between 1.4 and 4.2 mg leghaemoglobin g–1 fresh nodule. A PLS regression model was calibrated on\u0000leghaemoglobin content measured with the reference method and mean NIR spectra of dried nodules acquired with a\u0000hyperspectral imaging device. On a validation dataset, the PLS model predicted the leghaemoglobin content in nodule\u0000samples well (R2 = 0.90, root mean square error of prediction = 0.26). The multispectral approach showed similar\u0000performance. Applied to individual nodules, the PLS model highlighted a wide variability of leghaemoglobin content in\u0000nodules harvested from the same plant. These results show that NIR hyperspectral imaging could be used as a rapid and\u0000safe method to quantify leghaemoglobin in pea nodules.","PeriodicalId":37385,"journal":{"name":"Journal of Spectral Imaging","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43170061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}