Fruit quality evaluation using biospeckle techniques

Ansari, Mohammad Zaheer; Minz, Preeti D.; Nirala, Anil Kumar

doi:10.1109/rait.2012.6194540

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…Slight differences between BAI means and medians in groups prove its robustness to outliers and extremes. A similar indicator of BA employing the Pearson correlation coefficient, was proposed by other researchers as a reliable measure suitable for monitoring the quality of fresh and stored fruits [36,[41][42][43][44]. Although results obtained in this and other analyses are similar, random selection of pixels seems to be a better solution if analysing regions heterogeneous in terms of BA; hence, THSP created in this way should be more representative for such regions.…”

Section: Quantitative Analysis Of Biospeckle Activitymentioning

confidence: 77%

Biospeckle Activity of Highbush Blueberry Fruits Infested by Spotted Wing Drosophila (Drosophila suzukii Matsumura)

2022

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In this study, the potential of the biospeckle phenomenon for detecting fruit infestation by Drosophila suzukii was examined. We tested both graphical and analytical approaches to evaluate biospeckle activity of healthy and infested fruits. As a result of testing the qualitative approach, a generalized difference method proved to be better at identifying infested areas than Fujii’s method. Biospeckle activity of healthy fruits was low and increased with infestation development. It was found that the biospeckle activity index calculated from spatial-temporal speckle correlation of THSP was the best discriminant of healthy fruits and fruits in two different stages of infestation development irrespective of window size and pixel selection strategy adopted to create the THSP. Other numerical indicators of biospeckle activity (inertia moment, absolute value of differences, average differences) distinguished only fruits in later stage of infestation. Regular values of differences turned out to be of no use in detecting infested fruits. We found that to provide a good representation of activity it was necessary to use a strategy aimed at random selection of pixels gathered around the global maximum of biospeckle activity localized on the graphical outcome. The potential of biospeckle analysis for identification of highbush blueberry fruits infested by D. suzukii was confirmed.

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Section: Quantitative Analysis Of Biospeckle Activitymentioning

confidence: 77%

Biospeckle Activity of Highbush Blueberry Fruits Infested by Spotted Wing Drosophila (Drosophila suzukii Matsumura)

2022

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“…The main goal is to estimate speed of the processes which cause changes of speckle intensity data. Some of dynamic speckle imaging applications are: monitoring of blood flow in human tissues [1][2][3] , analysis of seeds viability 4,5 , detection of plant growth 6 and chemical contamination of leaves 7 , penetration of cosmetic ingredients in human skin 8 , study of ear biometrics 9 , bacterial response 10 and animal reproduction 11 , food quality assessment 12,13 and observation of a drying process 14 . Speckle formation strongly depends on micro changes in topography and refractive index, and this makes DST a highly sensitive tool for evaluation of the speed of processes due to its direct impact on speckle intensity fluctuations in time.…”

Section: Introductionmentioning

confidence: 99%

Portable low-cost setup for outdoor implementation of dynamic speckle technique

Levchenko¹,

Stoykova²,

Hong³

et al. 2023

Optical Measurement Systems for Industrial Inspection XIII

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Dynamic speckle technique (DST) is based on speckle formation on the surface of objects illuminated with coherent light. Temporal speckle intensity fluctuations depend on the speed of micro-changes ongoing within the controlled objects. The DST visualizes as a set of 2D activity maps the temporal change of spatial speed distributions. In general, the DST set-up comprises components as a laser source with the required optics, vibration-isolated table, high-resolution camera and computer for data storage and image processing. Such setups are stationary, massive and relatively expensive, which decreases the number of possible DST biological or industrial applications. In this paper we propose a miniature portable device, based on a low-cost laser attached to a smartphone, and checked its efficiency under the field conditions. A strong argument for using a portable set-up is the fact that the absolute values of the speckle intensity are not needed to construct a reliable activity map. We proved this conclusion by numerical simulation of DST in noisy environment. We studied speckle patterns captured with a smartphone's camera. A personal computer (PC) was used for postprocessing o f speckle images. We conducted four sets of experiments. The raw data were recorded on the PC while the smartphone was connected as i) IP-camera and ii) USB-camera. In the third experiment, speckle images were captured and stored in the smartphone's memory. Data were transferred to the PC after the end of recording. To obtain ground truth activity maps, we repeated the experiment with the same object under laboratory conditions.

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“…This technique has been used to monitor biological activity in fruits and vegetables (Ansari et al, 2012;Zdunek et al, 2014), to evaluate corn seed quality (Silva et al, 2018), coffee seed quality (Vivas et al, 2017), tomato ripening (Pieczywek et al, 2018), among others.…”

Section: Introductionmentioning

confidence: 99%

Biospeckle Laser Technique for mechanical damage assessment in Tommy atkins mango fruits

Santana

Silva

Pandorfi

et al. 2021

Braz. J. Food Technol.

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The objective of this study was to evaluate the response of biological activity measured by the Biospeckle Laser technique applied to mangoes (Mangifera indica L.) subjected to mechanical damage at different stages of maturation. The tests were carried out twice a week for twenty-one days, and 40 mangoes of the variety Tommy Atkins were used. The procedure was divided into two stages: the first simulated the impact on fruits, and in the second stage, the laser light was applied to the impacted area. After laser application, the images of all fruits were submitted to graphic processing, in order to obtain maps of biological activity of the fruits. The Biospeckle laser technique associated with image analysis allowed the identification of distinct biological activity levels in the mangoes, certifying its potential application as a non-destructive test tool, in the monitoring of biological activity in fruit samples.

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Fruit quality evaluation using biospeckle techniques

Cited by 7 publications

References 14 publications

Biospeckle Activity of Highbush Blueberry Fruits Infested by Spotted Wing Drosophila (Drosophila suzukii Matsumura)

Biospeckle Activity of Highbush Blueberry Fruits Infested by Spotted Wing Drosophila (Drosophila suzukii Matsumura)

Portable low-cost setup for outdoor implementation of dynamic speckle technique

Biospeckle Laser Technique for mechanical damage assessment in Tommy atkins mango fruits

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