Stitching of IR images into a single content based on data which analysis obtained by an optical camera

Semenishchev, Evgeny A.; Voronin, Viacheslav; Balabaeva, Oksana

doi:10.1117/12.2326839

Cited by 4 publications

(2 citation statements)

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“…In the case of diurnal species, there are more possibilities for distinguishing individuals from the background. Indeed, recording in visible light results in less noise than infrared light (Semenishchev et al, 2018) and standard cameras under visible light return three values per pixel, providing more possibilities to find colors (not just intensities) that distinguish individuals from the background (Sebastian et al, 2010; Wu et al, 2020 preprint). The standard infrared camera used in this experiment returns only one value per pixel (intensity), suggesting that reflective material is probably the best option for nocturnal species.…”

Section: Discussionmentioning

confidence: 99%

Assessing the effect of complex ground types on ground‐dwelling arthropod movements with video monitoring: Dealing with concealed movements under a layer of plant residues

Collard

Tixier

Carval

et al. 2022

Ecology and Evolution

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Understanding the effect of ground types on foraging movements of ground-dwelling arthropods is a key step to managing their spatial distribution as required for successful conservation biological control. Indeed, fine movements at the centimeter scale can strongly influence the foraging ability of pest predators. However, because radio frequency identification or harmonic tracking techniques are not yet suitable for small species and video tracking focuses on uniform and light backgrounds, foraging movements have rarely been studied in relation to ground types. We present a method to track a ground-dwelling arthropod (the earwig Euborellia caraibea) at night, walking on two contrasted ground types: bare soil and soil partly covered with a stratum of banana plant residues allowing individuals to hide periodically. The tracking of individuals within these ground types was achieved by infrared light, tagging individuals, video treatments, and semi-automatic cleaning of trajectories. We tested different procedures to obtain segments with identical durations to quantify speeds and sinuosities. These procedures were characterized by the junction time gap between trajectory fragments, the rediscretization time of trajectories, and whether or not to use interpolation to fill in missing points in the trajectories. Earwigs exhibited significantly slower and more sinuous movements on soil with banana plant residues than on bare soil. Long time gaps for trajectory junction, extended rediscretization times, and interpolation were complementary means to integrate concealed movements in the trajectories. The highest slowdown in plant residues was detected when the procedure could account for longer periods under the residues. These results suggest that earwigs spent a significant amount of time concealed by the residues. Additionally, the residues strongly decreased the earwigs' movement. Since the technical solutions presented in this study are inexpensive, easy to set up, and replicate, they represent valuable contributions to the emerging field of video monitoring.

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Section: Discussionmentioning

confidence: 99%

Assessing the effect of complex ground types on ground‐dwelling arthropod movements with video monitoring: Dealing with concealed movements under a layer of plant residues

Collard

Tixier

Carval

et al. 2022

Ecology and Evolution

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“…5. Image stitching using the approach proposed in [15]. Elements of detailed and boundaries of objects detected at stage 2 of the algorithm are used as matching points.…”

Section: Base Algorithm To Improve the Accuracy Of Recognition Of Rad...mentioning

confidence: 99%

Preprocessing to improve the accuracy of recognition of radioelement components in automated assembly devices

Semenishchev¹,

Zelensky²,

Zdanova³

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

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The article presumes a data processing algorithm that improves the accuracy of recognition of radio-electronic components in devices for automated installation. The paper proposes the use of a multicriteria filtering method that allows you to automatically change the smoothing coefficient. Varying the coefficient allows both reducing the noise component and preserving the boundaries of the radio elements without blurring. In order to enhance the contours of objects, a data simplification method is applied using the technique of reducing the range of clusters of color gradient histograms while preserving the shapes of objects. At the stage of detecting the boundaries of the elements and forming the structure of the elements of the radio component base, a modified one-dimensional two-criteria method is used. The combined analytical approach allows detection of the boundaries of radioelements and increases the productivity of the process. As test data used to evaluate the effectiveness, pairs of test images obtained by sensors fixed at various magnifications with a resolution of 1024x768 (8 bit, color image, visible range) are used. Images of simple shapes are used as analyzed objects.

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Thermal image stitching for examination industrial buildings

Semenishchev¹,

Agaian²,

Voronin³

et al. 2019

Mobile Multimedia/Image Processing, Security, and Applications 2019

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Stitching of IR images into a single content based on data which analysis obtained by an optical camera

Cited by 4 publications

References 1 publication

Assessing the effect of complex ground types on ground‐dwelling arthropod movements with video monitoring: Dealing with concealed movements under a layer of plant residues

Assessing the effect of complex ground types on ground‐dwelling arthropod movements with video monitoring: Dealing with concealed movements under a layer of plant residues

Preprocessing to improve the accuracy of recognition of radioelement components in automated assembly devices

Thermal image stitching for examination industrial buildings

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