Preliminary study of phase-shifting strobo-stereoscopy for cutting tool monitoring

Guo, Xiangyu; Lee, ChaBum

doi:10.1016/j.jmapro.2021.02.053

Cited by 9 publications

(5 citation statements)

References 24 publications

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“…In this study, stereoscopy was employed for 3D imaging, and the FSS method was tested on the stereoscopic system. The Stereo Camera Calibrator app in MATLAB was used for the calibration [5]. Twenty images of the calibration checkerboard pattern at different orientations regarding the cameras were captured by the stereoscope system.…”

Section: Imaging Methodsmentioning

confidence: 99%

“…Strobo-stereoscopy based on feature-selective segmentation and merging method Guo combined stroboscopy and stereoscopy, enabling in-process 3D imaging while the measurement target is rotating [5], and recently introduced fluorescence strobo-stereoscopy to suppress specular reflection off the optical quality rod and patterned roll [25]. In this study, the FSS and merging method and strobostereoscopy algorithm were combined to in-process obtain spatially resolved 3D images of the rotating target, as seen in figure 4.…”

Section: Methodsmentioning

confidence: 99%

“…Sheppard invented confocal scanning optical microscopy [4]. Guo estimated the geometry of rotating parts using stereoscopy and stroboscopy [5]. Kassamakov demonstrated a three-dimensional imaging approach based on Mirau interferometry for scanning grooved surfaces [6].…”

Section: Introductionmentioning

confidence: 99%

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Spatially resolved stereoscopic surface profiling by using a feature-selective segmentation and merging technique

Lee¹,

Guo²

2022

Surf. Topogr.: Metrol. Prop.

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We present a feature-selective segmentation and merging technique to achieve spatially resolved surface profiles of the parts by 3D stereoscopy and strobo-stereoscopy. A pair of vision cameras capture images of the parts at different angles, and 3D stereoscopic images can be reconstructed. Conventional filtering processes of the 3D images involve data loss and lower the spatial resolution of the image. In this study, the 3D reconstructed image was spatially resolved by automatically recognizing and segmenting the features on the raw images, locally and adaptively applying super-resolution algorithm to the segmented images based on the classified features, and then merging those filtered segments. Here, the features are transformed into masks that selectively separate the features and background images for segmentation. The experimental results were compared with those of conventional filtering methods by using Gaussian filters and bandpass filters in terms of spatial frequency and profile accuracy. As a result, the selective feature segmentation technique was capable of spatially resolved 3D stereoscopic imaging while preserving imaging features.

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Section: Imaging Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Spatially resolved stereoscopic surface profiling by using a feature-selective segmentation and merging technique

Lee¹,

Guo²

2022

Surf. Topogr.: Metrol. Prop.

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“…The specific methods include optical measurement techniques, radiometric testing, workpiece dimensional accuracy measurement, and chip color observation. Guo et al [32] combined stroboscopic and stereoscopic vision methods to propose a novel 3D imaging technique that can directly target the image of a tool in motion and reconstruct a 3D model of the cutting tool, as shown in figure 2(a). Bhattacharyya et al [33] introduced a radiological tool wear detection method.…”

Section: Application Of Sensor In Tcmmentioning

confidence: 99%

Sensor-based intelligent tool online monitoring technology: applications and progress

Huang,

Chen,

Wei

et al. 2024

Meas. Sci. Technol.

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With the continuous development of the aerospace, defense, and military industry, along with other high-end fields, the complexity of machined parts has gradually increased. Consequently, the demand for tool intelligence has also strengthened. However, traditional tools are prone to wear during cutting due to high cutting forces, high temperatures, and vibrations. Intelligent tools, in contrast to traditional ones, integrate sensors into their design, allowing for real-time monitoring of the cutting status and timely prediction of tool wear. The application of intelligent tools in machining significantly enhances machining quality, increases productivity, and reduces production costs. In this review, first, the tool wear monitoring methods were classified and discussed. Second, the intelligence and innovation of sensors in monitoring cutting force, temperature, and vibration were introduced, and the commonly used types of sensors for online monitoring of cutting force were detailed. Furthermore, different types of sensors in tool wear were discussed, and the advantages of multi-sensor monitoring were summarized. Some urgent issues and perspectives that need to be addressed were proposed, providing new ideas for the design and development of intelligent tools.

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“…With the development of high-resolution and high-speed imaging systems along with highperformance computational algorithms [5,6], 3D imaging technology can be adapted to numerous applications in many ways, combining various 3D surface imaging schemes and high-performance software technology including artificial intelligence. Since a few decades, numerous 3D surface imaging techniques have been introduced: stereoscopy [7,8], strobe stereoscopy [9][10][11], structured light 3D scanning [12][13][14], time-of-flight scanning [15], interferometry [16], holographic imaging [17], and so on. The 3D surface imaging techniques mentioned above have their own peculiarities in terms of application.…”

Section: Introductionmentioning

confidence: 99%

A Single Camera Unit-based Three-Dimensional Surface Imaging Technique

Wang¹,

Guo²,

Kim³

et al. 2023

Preprint

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This paper introduces a simple three-dimensional (3D) stereoscopic method using a single unit of an imaging device consisting of a charge-coupled device (CCD) and a zoom lens. Unlike conventional stereoscopy, which requires a pair of imaging devices, 3D surface imaging is achieved by 3D image reconstruction of two images obtained from two different camera positions by scanning. The experiments were performed by obtaining two images of the measurement target in two different ways: (1) by moving the object while the imaging device is stationary, and (2) by moving the imaging device while the object is stationary. Conventional stereoscopy is limited by disparity errors in 3D image reconstruction because a pair of imaging devices is not ideally identical and alignment errors are always present in the imaging system setup. The proposed method significantly reduced the disparity error in 3D image reconstruction, and the calibration process of the imaging system became simple and convenient. The proposed imaging system showed a disparity error of 0.26 in the camera pixel.

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Preliminary study of phase-shifting strobo-stereoscopy for cutting tool monitoring

Cited by 9 publications

References 24 publications

Spatially resolved stereoscopic surface profiling by using a feature-selective segmentation and merging technique

Spatially resolved stereoscopic surface profiling by using a feature-selective segmentation and merging technique

Sensor-based intelligent tool online monitoring technology: applications and progress

A Single Camera Unit-based Three-Dimensional Surface Imaging Technique

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