scholarly journals RELATIONSHIP BETWEEN INTERNAL MORPHOLOGY AND PHYSIOLOGICAL QUALITY OF Leucaena leucocephala SEEDS USING IMAGE ANALYSIS

2019 ◽  
Vol 43 (2) ◽  
Author(s):  
André Dantas de Medeiros ◽  
Manuel Jesús Zavala-León ◽  
Joyce de Oliveira Araújo ◽  
Márcio Dias Pereira ◽  
Denise Cunha Fernandes dos Santos Dias ◽  
...  
Keyword(s):  
Leucaena Leucocephala ◽  
Radiographic Images ◽  
X Ray ◽  
Internal Morphology ◽  
Vigor Index ◽  
Measurement Tools ◽  
Physiological Quality ◽  
Non Destructive ◽  
Automated Tool

ABSTRACT The use of new methodological approaches and inclusion of non-destructive evaluations in determining the quality of forest seeds has proven to be of great importance for the development of forest production. The aim of this study was to evaluate the effectiveness of the use of a semi-automated tool for measurement of digital images obtained by the X-ray test in seed lots of Leucaena leucocephala and their relationship to seed physiological quality. Seeds were collected from five mother trees in Viçosa, MG. The study was performed through analysis of radiographic images of the seeds. It was determined the percentage of damaged seeds (predation and fungi) and measured: the area, perimeter, circularity, relative density, and integrated density of the seeds. After the X-ray test, a germination test was performed on the seeds, from which ten variables related to seed physiological quality were extracted, including a vigor index. The use of semi-automated measurement tools associated with the X-ray test was effective for evaluating the internal morphology of Leucaena leucocephala seeds, and the variables determined are related to seed physiological quality.

scholarly journals Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds

2018 ◽  
Vol 42 (6) ◽  
pp. 643-652 ◽  
Author(s):  
André Dantas de Medeiros ◽  
Joyce de Oliveira Araújo ◽  
Manuel Jesús Zavala León ◽  
Laércio Junio da Silva ◽  
Denise Cunha Fernandes dos Santos Dias
Keyword(s):  
Leucaena Leucocephala ◽  
High Performance ◽  
Principal Component ◽  
Automated Analysis ◽  
Radiographic Images ◽  
X Ray ◽  
Physiological Quality ◽  
Non Destructive ◽  
Do So

ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.

Image Analysis in the Evaluation of the Physical and Physiological Quality of Jiló (Solanum gilo) Seeds during Development

2019 ◽  
pp. 1-10
Author(s):  
Marcus Vinicius Prado Alves ◽  
Édila Vilela De Resende Von Pinho ◽  
Gustavo Costa Prado Alves ◽  
Maria Laene Moreira de Carvalho ◽  
Heloisa Oliveira dos Santos
Keyword(s):  
Image Analysis ◽  
Radiographic Images ◽  
X Ray ◽  
Physiological Quality ◽  
Non Destructive ◽  
Days After Anthesis ◽  
Free Area

Currently, the X-ray image analysis of seeds has proved effective for the evaluation of the physical and physiological quality of the seeds, besides being a non-destructive method. The objective of this work was to evaluate the internal free area of jiló seeds (Solanum gilo) through the analysis of radiographic images and to relate the results with the germination of seeds in different stages of maturation. The seeds were harvested at 35, 40, 45 days after anthesis and 45 days after anthesis with 7 days at rest (45 DAAr). Seeds with free internal area ≤ 10% produced normal seedlings whereas seeds with an average free area above 10% produced abnormal or non-germinated seedlings. Seeds of fruits harvested at 45 DAA and seven days at rest showed a smaller internal free area and a formation of 100% of normal seedlings. The analysis of the radiographic images of jiló seeds allows the measurement of the free internal areas, as well as the determination of the relation between these and the germination.

scholarly journals Physical and physiological quality of Jatropha curcas L. seeds at different maturity stages using image analysis

2020 ◽  
Vol 18 (3) ◽  
pp. e0206
Author(s):  
Daniel T. Pinheiro ◽  
André D. Medeiros ◽  
Manuel J. Zavala-León ◽  
Denise C. F. S. Dias ◽  
Laércio J. Da Silva
Keyword(s):  
Image Analysis ◽  
Jatropha Curcas ◽  
Physical Characteristics ◽  
Radiographic Images ◽  
Seed Filling ◽  
X Ray ◽  
Tissue Integrity ◽  
Maturity Stages ◽  
Physiological Quality

Aim of study: To assess the potential of automated X-ray image analysis to evaluate the physical characteristics of Jatropha curcas seeds, and to relate the parameters obtained with the physiological quality of the seeds harvested at different maturity stages.Area of study: Experimental area of Agronomy Department, Federal University of Viçosa (UFV), Brazil.Material and methods: The fruits were harvested from 20 plants, based on the external skin color (green, yellow, brownish-yellow and brown). The study was performed by automated and visual analysis of radiographic images of the seeds, in which measurements of tissue integrity, density and seed filling were performed. Seed dry matter, germination and seedling growth were also analysed.Main results: Variables obtained through automated analysis of radiographic images correlated significantly with all physiological variables (r > 0.9), as well as visual image evaluations (r > 0.75). The seeds extracted from green fruits presented lower tissue integrity and lower physiological quality. Radiographic analysis was efficient for monitoring J. curcas seed quality at different maturity stages. Morpho-anatomical parameters obtained from X-ray analysis were highly correlated with seed physiological attributes.Research highlights: It is important to develop and improve methodologies based on lower-cost techniques, such as X-ray analysis. In this context, we verified that X-ray images can be used for monitoring J. curcas seed filling and maturation. Radiographic images of seeds can be analyzed automatically with ImageJ software. Internal morphology and physical characteristics of seeds have relationship with their physiological quality.

scholarly journals Use of radiographic images for rapid and non-destructive assessment of crambe seed quality

2021 ◽  
Vol 43 ◽  
Author(s):  
Alessandra da Silva Ribeiro ◽  
Tássia Fernanda Santos Neri ◽  
André Dantas de Medeiros ◽  
Carla do Carmo Milagres ◽  
Laércio Junio da Silva
Keyword(s):  
Seed Quality ◽  
Automated Analysis ◽  
Physical Parameters ◽  
Morphometric Characteristics ◽  
Radiographic Images ◽  
X Ray ◽  
Tissue Integrity ◽  
Seed Embryo ◽  
Physiological Quality

Abstract: Technologies based on electromagnetic radiation, such as the X-ray technique, has contributed to the establishment of new and promising methodologies for evaluating seed quality. This study aimed to relate parameters based on semi-automated analysis of radiographs of crambe seeds to their physiological quality. Radiographic images of seeds from 10 seed lots of cultivar FMS Brilhante were semi-automatically analyzed using ImageJ® software. Measurements of morphometric characteristics and tissue integrity were obtained for the seeds, as well as individually for the seed embryo. Following X-ray test, the seeds were subject to germination and seedling growth test. It was possible to visualize the internal structures of the seeds in the radiographs. There were differences in the physical parameters obtained by the semi-automated analysis of the radiographs between the seed lots. Also, the lots differed regarding the physiological quality of the seeds. Morphometric characteristics and tissue integrity, especially for the seed embryo, showed high correlation with the seed physiological quality. Therefore, this work presents an efficient approach to rapid and non-destructively assess the quality of crambe seeds.

Relationship between internal morphology and physiological quality of pepper seeds during fruit maturation and storage

2020 ◽  
Vol 112 (1) ◽  
pp. 25-35 ◽  
Author(s):  
André Dantas Medeiros ◽  
Manuel Jesús Zavala‐León ◽  
Laércio Junio da Silva ◽  
Ariadne Morbeck Santos Oliveira ◽  
Denise Cunha Fernandes dos Santos Dias
Keyword(s):  
Fruit Maturation ◽  
Internal Morphology ◽  
Physiological Quality ◽  
And Storage

scholarly journals Seed quality analysis of Senna siamea Lam. using image analysis techniques

2020 ◽  
Vol 42 ◽  
Author(s):  
Jackson Araújo da Silva ◽  
André Dantas de Medeiros ◽  
Márcio Dias Pereira ◽  
Amanda Karoliny Fernandes Ramos ◽  
Laércio Junio da Silva
Keyword(s):  
Image Analysis ◽  
Seed Quality ◽  
Quality Analysis ◽  
Radiographic Images ◽  
Senna Siamea ◽  
Analysis Techniques ◽  
Physiological Quality ◽  
Image Analysis Techniques ◽  
Forest Seeds

Abstract: The inclusion of image analysis techniques for the accurate and rapid assessment of the quality of forest seeds is highly desirable. The use of digital radiographic images of seeds and the analysis of seedling images, still little used in determining the quality of forest seeds, are among the available imaging techniques. This study aimed to assess the feasibility of using the analysis of images of seeds and seedlings in the assessment of the physical and physiological quality of Senna siamea seeds. Radiographic images of seeds were obtained from five seed lots, allowing generating morphological and tissue integrity descriptors. These seeds were then subjected to germination and seedling growth tests, which allowed obtaining variables related to physiological quality. The generated seedlings were scanned and analyzed using the software ImageJ. The data were analyzed using analysis of variance, correlation, and principal component analysis. The results showed differences between seed lots in terms of physiological quality and physical integrity of internal tissues. Significant correlations were observed between the variables obtained with the radiographic analysis and seed physiological characterization tests. The use of techniques to analyze seed radiographs and seedling images allows access to information on the physical and physiological integrity of S. siamea seeds.

scholarly journals Physical quality of seeds of Moquiniastrum polymorphum

2019 ◽  
Vol 79 (1) ◽  
pp. 63-69 ◽  
Author(s):  
J. C. T. Faria ◽  
L. A. Melo ◽  
C. R. M. Assumpção ◽  
G. E. Brondani ◽  
T. B. Breier ◽  
...  
Keyword(s):  
Heavy Fraction ◽  
External Evaluation ◽  
Physical Quality ◽  
X Ray ◽  
Internal Morphology ◽  
Combined Use ◽  
Heavy Fractions ◽  
Filled Seeds

Abstract This study aimed to analyze the physical properties of the seeds of Moquiniastrum polymorphum when processed by mini-SAS, X-ray and seed blower systems. The seeds were purchased from Seeds Caiçara, located in Penápolis-SP. After purchase, the seed lot was characterized by standard tests. In the X-ray test the seeds were classified according to their internal morphology as filled, unfilled or malformed. The seed blower was set at six opening settings, resulting in light and heavy fractions. The evaluations were performed by weighing the seeds that remained in the blower (heavy fraction) and by the amount of filled seeds indicated by the X-ray test. The germination tests were composed of four replicates of 50 seeds. The mini-SAS was used for external evaluation. It was concluded that the combined use of the seed blower and the X-ray test was efficient for the evaluation and determination of the physical quality of the seeds of M. polymorphum. The seed blower at opening settings 5 resulted in the best lot quality. The external parameters were not able to qualitatively evaluate the seeds of M. polymorphum.

Digital Radiographic Image Enhancement for Weld Defect Detection using Smoothing and Morphological Transformations

2012 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Suhaila Abdul Halim ◽  
Arsmah Ibrahim ◽  
Yupiter Harangan Prasada Manurung
Keyword(s):  
Defect Detection ◽  
Test Method ◽  
Radiographic Image ◽  
Radiographic Image Enhancement ◽  
Radiographic Images ◽  
Weld Defect ◽  
Different Types ◽  
Morphological Transformations ◽  
Non Destructive

Accurate inspection of welded materials is important in relation to achieve acceptable standards. Radiography, a non-destructive test method, is commonly used to evaluate the internal condition of a material with respect to defect detection. The presence of noise in low resolution of radiographic images significantly complicates analysis; therefore attaining higher quality radiographic images makes defect detection more readily achievable. This paper presents a study pertaining to the quality enhancement of radiographic images with respect to different types of defects. A series of digital radiographic weld flaw images were smoothed using multiple smoothing techniques to remove inherent noise followed by top and bottom hat morphological transformations. Image quality was evaluated quantitatively with respect to SNR, PSNR and MAE. The results indicate that smoothing enhances the quality of radiographic images, thereby promoting defect detection with the respect to original radiographic images. 

Effectiveness of Non Destructive Physical Analysis Method Using X-ray CT Imaging

2009 ◽  
Author(s):  
Akira Mizoguchi ◽  
Koichiro Takeuchi
Keyword(s):  
Ct Images ◽  
Physical Analysis ◽  
Nondestructive Analysis ◽  
X Ray ◽  
Destructive Analysis ◽  
X Ray Computed ◽  
Analytical Result ◽  
Test Use ◽  
Non Destructive

Abstract Now we are attempting to apply non destructive analysis from evaluation tests or failure analysis to acceptance tests or production tests. Needless to say non destructive analysis has an advantage of conserving the state of samples and the reducing the time of analysis as compared to conventional methods with destructive physical analysis. Moreover, we are paying attention to the following reasons for nondestructive physical analysis. It is difficult to keep the reproducibility of the analysis because of the high skill level required for destructive physical analysis. On the other hand, high reproducibility can be easily achieved by fixing the condition or parameters of the device during nondestructive analysis when performed by tools like X-ray. Moreover, we expect that neither the analytical result nor the quality of the nondestructive analysis depends upon the worker's capability. In this paper we will discuss the following two items from the viewpoint of quality assurance. 1. The method of the screening for fake parts (1) The procedure flow for the production discontinued parts (2) The comparison and examination between the diagnostic using X-ray computed tomography (X-ray CT) images and various examinations (3) Other observation cases using X-ray CT images 2. Effectiveness and consideration in reliability evaluation test using X-ray CT image (1) Comparison of observation cases with a variety of jointing points in parts (2) Consideration of application of nondestructive observation technique in reliability test Use of X-ray CT images is effective in diagnosing the quality of the product or the process. Moreover, we find that use of X-ray CT images is effective for the improvement of the reproducibility of the evaluation examination. Then we find that use of X-ray CT images can reduce the time of evaluation examination too.

Direction Estimation and Visualization of Yarns from CT Volumes of SiC Fabric

2016 ◽  
Vol 10 (2) ◽  
pp. 179-186 ◽  
Author(s):  
Yukie Nagai ◽  
◽  
Yutaka Ohtake ◽  
Hiromasa Suzuki ◽  
Hiroyuki Hishida ◽  
...  
Keyword(s):  
Ceramic Matrix Composite ◽  
Ct Scanning ◽  
Ceramic Matrix ◽  
X Ray ◽  
Direction Estimation ◽  
Large Size ◽  
Fabric Structure ◽  
Non Destructive ◽  
Ct Volume

Ceramic matrix composite (CMC) is a material with high thermostability. Since it is lower in weight than metals realizing the same thermostability, it has been attracting increasing attention in many fields. It has an inner fabric structure made of ceramics (SiC), and the yarns of the fabric give this material rather high stiffness in the directions the yarns run. To guarantee the stiffness of the material, it is necessary to inspect the yarns. X-ray CT scanning, a non-destructive inspection technique, is one of the best ways to do this. However, the quality of a CT volume of SiC fabric tends to be very low, and the resolution is generally also low because of the restriction on the time given for the inspection and the relatively large size of CMC parts. This paper presents an algorithm for computing the directions of the yarns in an SiC fabric from a low quality CT volume, and it proposes a way to visualize the computed directions for a better recognition of the directions. It also presents some experimental results that show the effects of the proposed algorithms.

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