scholarly journals Developing an Automatic Color Determination Procedure for the Quality Assessment of Mangos (Mangifera indica) Using a CCD Camera and Color Standards

Foods ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1709
Author(s):  
Khanitta Ratprakhon ◽  
Werner Neubauer ◽  
Katharina Riehn ◽  
Jan Fritsche ◽  
Sascha Rohn
Keyword(s):  
Vision System ◽  
Mangifera Indica ◽  
Color Space ◽  
Evaluation Process ◽  
Ccd Camera ◽  
Optimal Level ◽  
Blue Color ◽  
Color Code ◽  
Color Determination

Color is one of the key sensory characteristics in the evaluation of the quality of mangos (Mangifera indica) especially with regard to determining the optimal level of ripeness. However, an objective color determination of entire fruits can be a challenging task. Conventional evaluation methods such as colorimetric or spectrophotometric procedures are primarily limited to a homogenous distribution of the color. Accordingly, a direct assessment of the mango quality with regard to color requires more pronounced color determination procedures. In this study, the color of the peel and the pulp of the mango cultivars “Nam Dokmai”, “Mahachanok”, and “Kent” was evaluated and categorized into various levels of ripeness using a charge-coupled device (CCD) camera in combination with a computer vision system and color standards. The color evaluation process is based on a transformation of the RGB (red, green, and blue) color space values into the HSI (hue, saturation, and intensity) color system and the Natural Color Standard (NCS). The results showed that for pulp color codes, 0560-Y20R and 0560-Y40R can be used as appropriate indicators for the ripeness of the cultivars “Nam Dokmai” and “Mahachanok”. The peels of these two mango cultivars present two distinct colors (1050-Y40R and 1060-Y40R), which can be used to determine the fruit maturity during the post-ripening process. However, in the case of the cultivar “Kent”, peel color detection was not an applicable approach for determining ripeness; thus, the determination of the pulp color with the color code 0550-Y20R gave promising results.

Development of Novel Detection Device for Chemical Properties of Dioscorea hispida

2012 ◽  
Vol 626 ◽  
pp. 464-469
Author(s):  
R. Syazili ◽  
R.M. Hudzari ◽  
Ain M. Kamarul ◽  
A.B.C. Abdullah ◽  
M.A.H.A. Ssomad
Keyword(s):  
Vision System ◽  
Color Space ◽  
Chemical Properties ◽  
Statistical Relationship ◽  
Machine Vision Application ◽  
Hardware Component ◽  
Economic Regions ◽  
Non Destructive ◽  
Vision Application

The potential of machine vision application in the determination of alkaloid inDioscorea hispidarhizome was explored. A camera vision system used in this research is chroma meter CR-400 made by Konica Minolta. The first component is the hardware component that functions as an image acquisitioned for the system. The second component is the software part which converts reading obtained from the hardware. From the design review, the images from a variety of harvested ofDioscorea hispidawill be captured and the reading in L*a*b color space were converted. The prediction was also made on the statistical relationship between Hue and dioscorine level in the fruit. With the same rhizomes, 40 grams was selected for chemical analysis at a laboratory for the programme of East Coastal Economic Regions Kementerian Pengajian Tinggi, Universiti Sultan Zainal Abidin, Malaysia (ECER-KPT UniSZA). The samples were selected from 12 portions of 2 plants (I and B) collected from Kampung Kudat, Ajil, Terengganu, Malaysia. The development on this study is grouped as non destructive method to determine the dioscorine content which is one of the alkaloid components in the rhizome ofDioscorea hispida.

scholarly journals Measuring system for parallel moving ships

2012 ◽  
Vol 19 (Special) ◽  
pp. 66-72 ◽  
Author(s):  
Anna Waszkiel
Keyword(s):  
Vision System ◽  
Ccd Camera ◽  
Measuring System ◽  
Positioning System ◽  
The Real ◽  
Distance Calculation ◽  
Characteristic Points

ABSTRACT The paper introduces algorithm for determining the relative positions of two ships manoeuvring as a pair. This algorithm also takes into account determination of angle γ, which is difference between present approaching vessel and guidance vessel course. Relative positioning system is a vision system based on three colours LEDs matrix and rotating CCD camera. There are presented ways of distance calculation based on photogrammetric methods from the known distance between the characteristic points of the real. Several possible cases are taken into account. The considerations have been illustrated on the basis of model of the system. These results confirm the correctness of the operation of the algorithm that is used by the designed measuring system.

scholarly journals A Perspective of the Comprehensive and Objective Assessment of Analytical Methods Including the Greenness and Functionality Criteria: Application to the Determination of Zinc in Aqueous Samples

2021 ◽  
Vol 9 ◽  
Author(s):  
Paweł Mateusz Nowak ◽  
Renata Wietecha-Posłuszny ◽  
Michał Woźniakiewicz ◽  
Aneta Woźniakiewicz ◽  
Małgorzata Król ◽  
...  
Keyword(s):  
Analytical Chemistry ◽  
Future Development ◽  
Analytical Method ◽  
Objective Assessment ◽  
Evaluation Process ◽  
Color Model ◽  
Blue Color ◽  
Aqueous Samples ◽  
Ecological Aspects

The recently proposed concept of White Analytical Chemistry (WAC), referring to the Red-Green-Blue color model, combines ecological aspects (green) with functionality (red and blue criteria), presenting the complete method as “white”. However, it is not easy to carry out an overall quantitative evaluation of the analytical method in line with the WAC idea in an objective manner. This paper outlines the perspective of the future development of such a possibility by attempting to answer selected questions about the evaluation process. Based on the study consisting in the evaluation of selected model methods by a group of 12 independent analysts, it was shown how well individual criteria are assessed, whether the variability of assessments by different people is comparable for each criterion, how large it is, and whether averaging the scores from different researchers can help to choose the best method more objectively.

scholarly journals A Method of Segmenting Apples Based on Gray-Centered RGB Color Space

2021 ◽  
Vol 13 (6) ◽  
pp. 1211
Author(s):  
Pan Fan ◽  
Guodong Lang ◽  
Bin Yan ◽  
Xiaoyan Lei ◽  
Pengju Guo ◽  
...  
Keyword(s):  
Vision System ◽  
False Positive Rate ◽  
Clustering Algorithms ◽  
False Negative ◽  
Color Space ◽  
False Negative Rate ◽  
Feature Selection Method ◽  
Image Features ◽  
Accurate Identification ◽  
Rgb Color Space

In recent years, many agriculture-related problems have been evaluated with the integration of artificial intelligence techniques and remote sensing systems. The rapid and accurate identification of apple targets in an illuminated and unstructured natural orchard is still a key challenge for the picking robot’s vision system. In this paper, by combining local image features and color information, we propose a pixel patch segmentation method based on gray-centered red–green–blue (RGB) color space to address this issue. Different from the existing methods, this method presents a novel color feature selection method that accounts for the influence of illumination and shadow in apple images. By exploring both color features and local variation in apple images, the proposed method could effectively distinguish the apple fruit pixels from other pixels. Compared with the classical segmentation methods and conventional clustering algorithms as well as the popular deep-learning segmentation algorithms, the proposed method can segment apple images more accurately and effectively. The proposed method was tested on 180 apple images. It offered an average accuracy rate of 99.26%, recall rate of 98.69%, false positive rate of 0.06%, and false negative rate of 1.44%. Experimental results demonstrate the outstanding performance of the proposed method.

Dual-Camera Vision System for Fatigue Monitoring

2012 ◽  
Vol 726 ◽  
pp. 226-232 ◽  
Author(s):  
Tomasz Giesko
Keyword(s):  
Fatigue Fracture ◽  
Vision System ◽  
Specimen Surface ◽  
Fatigue Monitoring ◽  
Computer Unit ◽  
2D Images

The article presents a dual-camera vision system for fatigue monitoring composed of a vision unit, a camera positioning set and a computer unit. Vision modules are mounted onto the 4DOF positioning sets, which allows for an easy determination of the position of the camera in relation to the sample. The application of motorized measurement lenses with changeable configuration, thanks to the alteration of the distance of observation and the vision angle, enables the adaptation of the system to different scales of observation of the fatigue processes in the specimen surface. Automatic focus setting is realised with the use of the implemented algorithm. The software developed allows for the analysis of fatigue fracture for two 2D images or the 3D stereovision image.

Determination of Bendiocarb Insecticide by Reverse Flow Injection Analysis Using a Solid-Phase Reactor Containing Micro PbO2, Nano PbO2 and Grafted SiO2 - PbO2 Immobilized

2020 ◽  
Vol 42 (1) ◽  
pp. 31-31
Author(s):  
Malik H Alaloosh Alamri Malik H Alaloosh Alamri ◽  
Sadeem Subhi Abed and Abdulkareem M A Alsammarraie Sadeem Subhi Abed and Abdulkareem M A Alsammarraie
Keyword(s):  
Flow Injection ◽  
Limit Of Detection ◽  
Solid Phase ◽  
Reverse Flow ◽  
Blue Color ◽  
Wide Range ◽  
Solid Phase Reactor ◽  
Grafted Nanoparticles ◽  
Reverse Flow Injection

Bendiocarb (BEN) is an acutely toxic carbamate insecticide which used in public places and agriculture, it is also effective against a wide range of nuisance and disease vector insects. A new rapid and sensitive reverse flow injection spectrophotometric procedure coupled with on-line solid-phase reactor is designed in this article for the determination of BEN in its insecticidal formulations and water samples, by using three different solid-phase reactors containing bulk PbO2 (B-SPR), PbO2 nanoparticles (N-SPR) and grafted nanoparticles of SiO2-PbO2 (G-SPR) immobilized on cellulose acetate matrix (CA). This method of oxidative coupling is based on alkaline hydrolysis of the BEN pesticide, and then coupled with N,N dimethyl-p-phenylenediamine sulphate (DMPD) to give a blue color product which measured at λmax 675 nm. It worth to mentioned that under optimal conditions, Beer’s law is obeyed in the range of 1-175 μg mL-1 for B-SPR and 0.25-70 μg mL-1 of BEN for both N-SPR and G-SPR respectively within limit of detection (LOD) of 0.931, 0.234 and 0.210 μg mL-1 for B-SPR N-SPR and G-SPR respectively. The surface methodology of the solid phase was also investigated by using atomic force microscopy.

EXPRESS METHOD FOR DETERMINING OF IODINE NUMBER IN FATS AND OILS

2019 ◽  
Author(s):  
В.И. МАРТОВЩУК ◽  
Е.В. МАРТОВЩУК ◽  
А.А. ЛОБАНОВ ◽  
И.В. РЫБАНЧУК ◽  
Ю.Ш. ЮСУПОВА
Keyword(s):  
Iodine Number ◽  
Rapid Determination ◽  
Sodium Thiosulfate ◽  
Fats And Oils ◽  
Alcoholic Solution ◽  
Test Substance ◽  
Blue Color ◽  
Express Method ◽  
Excess Iodine

Разработан экспресс-метод определения йодного числа в жирах и маслах, исключающий применение агрессивных и токсичных реагентов и значительно сокращающий длительность измерения. Разработанный метод позволяет определить показатель степени непредельности жиров и масел, жиросодержащих пищевых продуктов. Методика предусматривает предварительную обработку масел в МХА. Затем навеску исследуемого вещества от 0,03 до 0,05 г, взятую с точностью до ± 0,0002 г, помещают в сухую коническую колбу с притертой пробкой. В колбу вносят 10 см3спирто-эфирной смеси (1 : 1), тщательно перемешивают. Затем к навеске добавляют 30 см3 спиртового раствора йода концентрацией 0,1 моль/дм3, перемешивают. Приливают 100 см3 дистиллированной воды. Колбу закрывают пробкой, встряхивают и выдерживают в темноте 20 мин. Избыточный йод оттитровывают раствором тиосульфата натрия концентрацией 0,1 моль/дм3. Перед окончанием титрования, когда раствор приобретет соломенно-желтый цвет, добавляют 1 см31%-го раствора крахмала и титруют до исчезновения синей окраски. Относительная погрешность определения йодного числа по разработанной методике невелика – от 0,141 до 0,149% при надежности 0,95. Разработанный метод рекомендован для оперативного определения йодных чисел масел и жиров в производственных и лабораторных условиях. Оперативность метода позволяет быстро вносить изменения в технологические процессы и обеспечивать стабильность производства и качества продукции. The express method of determination of iodine number in fats and oils, excluding the use of aggressive and toxic reagents and significantly reducing the duration of measurement, has been developed. The developed method allows define degree of unsaturated of the fats and oils containing fat of products. The technique involves the pretreatment of oils in a techno-chemical activator. Then the sample of the test substance from 0,03 to 0,05 g, taken with an accuracy of ± 0,0002 g, is placed in a dry conical flask with a ground glass stopper. In the flask make 10 cm3alcohol-ether mixture (1 : 1), mix sample thoroughly. Then add 30 cm3of an alcoholic solution of iodine with a concentration of 0,1 mol/dm3to the sample, mix. Then, pour 100 cm3of the distilled water. The flask is closed with a stopper, shaken and kept in the dark for 20 min. Excess iodine is titrated with a solution of sodium thiosulfate concentration of 0,1 mol/dm3. Before the end of titration, when the solution becomes straw yellow, add 1 cm3 of 1% starch solution and titrate until the blue color disappears. The relative error in the determination of the iodine number by the developed method is small – from 0,141 to 0,149% with a reliability of 0,95; that allows us to recommend the developed method for the rapid determination of iodine numbers of oils and fats in production and laboratory conditions. The efficiency of the method allows you to quickly make changes in technological processes and ensure the stability of production and product quality.

Chromatic Image Analysis for Cotton Trash and Color Measurements

1997 ◽  
Vol 67 (12) ◽  
pp. 881-890 ◽  
Author(s):  
Bugao Xu ◽  
Chaoying Fang ◽  
Robin Huang ◽  
Michael D. Watson
Keyword(s):  
Image Analysis ◽  
Motion Control ◽  
Statistical Data ◽  
Vision System ◽  
Ccd Camera ◽  
Spatial Density ◽  
Computer Vision System ◽  
Color Measurements ◽  
The U.S ◽  
Xenon Flash

The U.S. cotton classification system has been undergoing significant changes, moving from human classing to the use of precise instruments. Along with this trend, the current research is an effort to develop a new computer vision system to measure detailed trash and color attributes of raw cotton. The system primarily consists of a color ccd camera, xenon flash light, and customized software. In this paper, we introduce a new trash and spot identification method, multidimension thresholding, and the methods for characterizing size, spatial density, shape, and color of trash and spots present in cotton samples. We report on the trash and color measurements of twelve cotton samples, including statistical data and distribution curves, and we compare the results from this system with those from other instruments such as the Spinlab and Motion Control hvi machines and the Minolta Chroma Meter CR-210. Finally, we investigate the influence of trash and spots on cotton color values.

scholarly journals Thinking in colors

2021 ◽  
pp. 12-38
Author(s):  
Nikolai Aleksandrovich Kormin
Keyword(s):  
Cultural Identity ◽  
Color Harmony ◽  
Color Determination ◽  
The World ◽  
New Interpretation ◽  
The Aesthetic ◽  
First Time ◽  
Philosophy Of Arithmetic

This article reveals the philosophical grounds of the aesthetics of color, analyzes the correlation between the structures of philosophical and artistic comprehension of coloristics. Interaction of philosophy and art as the forms of cultural identity manifests in the sphere of intellectual understanding of the perception of color and its semantics in painting. In the hidden logic of contemplation of color, can be traced the outlines of the problematic of transcendental and intelligible in art conditions for the aesthetic approach towards chromatic space. Color creates the visual beauty, thus it is apparent why the aesthetic knowledge seeks to clarify to which extent we can assess the experience of color – the result of coloration of light. The art itself creates the so-called color ontology of the world. First the first time, the beauty of color and its perception are analyzed in the context of correlation between art and transcendental traditions of philosophizing  (Descartes, Kant, early Husserl –  his work “The Philosophy of Arithmetic”) that allows matching the key to a new interpretation of the tradition of color. Determination of its meaning requires comparing history and structure of the philosophical and artistic metaphor of color. It is demonstrated that the phenomenon of color is of crucial significance for the aesthetics, as it implies not only comprehension of the problem of correlation between nature and art, but also cognition of the beauty of color, its universal value for all forms of art, profound structures of perception of coloristic phenomena, picturesque unveiling of the color harmony of the painting.

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