An edge detection algorithm based-on Sobel operator for images captured by binocular microscope

Xiang, Hua; Yan, Bin; Cai, Qi; Zou, Guangyi

doi:10.1109/iceceng.2011.6057846

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…Hence, the existing edge detection algorithm has limitations in extracting the boundary of an object. Some scholars have conducted extensive research to avoid background interference during vision measurement and improve the boundary accuracy detection through sev eral auxiliary methods, such as controlling the background of image acquisition to separate it from the measured object [10] and controlling illumination, i.e. the backlight, to make the boundary information prominent [11].…”

Section: A 3d Measurement Methods With Accurate Boundaries Based On M...mentioning

confidence: 99%

A 3D measurement method with accurate boundaries based on mutation feature detection of laser stripes

Zhang

Liu

et al. 2019

Meas. Sci. Technol.

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Laser scanning measurement plays an important role in detecting the parameters of parts in a workshop. However, the existing methods and measurement instruments are unable to accurately calculate the 3D coordinates of largescale part boundaries in an onsite complex environment. This paper proposes a 3D measurement method with accurate boundaries based on the mutation feature detection of laser stripes. First, drawing on the type analysis of light stripe images in the target boundary, the corresponding ideal boundary models are built. Next, an adaptive classification mechanism is designed in order to achieve rapid recognition and classification of the mutation features of laser stripes. Then, a boundary endpoint laser stripe detection method based on mutation features is presented as a way to obtain subpixel boundary endpoint locations. Finally, simulations and lab experiments are conducted using a standard part to validate the accuracy of the proposed method. In the analysis of results between the measured data and the reference distance, the proposed method demonstrates a high measuring accuracy, with a root mean square of the relative error of 0.024%. This measuring accuracy satisfies the requirements of field measurement. In addition, a measurement experiment with a curved surface part is carried out, which further verifies the feasibility and effectiveness of the proposed method.

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Section: A 3d Measurement Methods With Accurate Boundaries Based On M...mentioning

confidence: 99%

A 3D measurement method with accurate boundaries based on mutation feature detection of laser stripes

Zhang

Liu

et al. 2019

Meas. Sci. Technol.

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“…This image pyramid is constructed by scaling the input images using bicubic interpolation and each scaled image is processed separately until they are concatenated in pyramid as in step 4. Second, we use the Sobel edge detector [6] to calculate the threshold T , which is derived from the mean value of the gradient magnitude of the input image, and adjusted by the scale parameter δ as shown in Eq. (1).…”

Section: Proposed Methodsmentioning

confidence: 99%

Side Scan Sonar Image Super Resolution via Region-Selective Sparse Coding

Park

Jin

et al. 2019

IEICE Trans. Inf. & Syst.

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Side scan sonar using low frequency can quickly search a wide range, but the images acquired are of low quality. The image super resolution (SR) method can mitigate this problem. The SR method typically uses sparse coding, but accurately estimating sparse coefficients incurs substantial computational costs. To reduce processing time, we propose a region-selective sparse coding based SR system that emphasizes object regions. In particular, the region that contains interesting objects is detected for side scan sonar based underwater images so that the subsequent sparse coding based SR process can be selectively applied. Effectiveness of the proposed method is verified by the reduced processing time required for image reconstruction yet preserving the same level of visual quality as conventional methods.

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“…In [6] the authors have applied edge detection algorithm on images taken by Binocular Microscope. In [7] the authors have implemented Sobel and Canny algorithms on X-ray images of teeth to find its edges.…”

Section: Literature Surveymentioning

confidence: 99%

Hardware Implementation of Sobel Edge Detection Algorithm

Pujare¹,

Sawant²,

Sharma³

et al. 2020

ITM Web Conf.

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In the fields of image processing, feature detection, the edge detection is an important aspect. For detection of sharp changes in the properties of an image, edges are recognized as important factors which provides more information or data regarding the analysis of an image. In this work coding of various edge detection algorithms such as Sobel, Canny, etc. have been done on the MATLAB software, also this work is implemented on the FPGA Nexys 4 DDR board. The results are then displayed on a VGA screen. The implementation of this work using Verilog language of FPGA has been executed on Vivado 18.2 software tool.

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An edge detection algorithm based-on Sobel operator for images captured by binocular microscope

Cited by 7 publications

References 7 publications

A 3D measurement method with accurate boundaries based on mutation feature detection of laser stripes

A 3D measurement method with accurate boundaries based on mutation feature detection of laser stripes

Side Scan Sonar Image Super Resolution via Region-Selective Sparse Coding

Hardware Implementation of Sobel Edge Detection Algorithm

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