A Heterogeneous Implementation of the Sobel Edge Detection Filter Using OpenCL

Sanida, Theodora; Sideris, Argyrios; Dasygenis, Minas

doi:10.1109/mocast49295.2020.9200249

Cited by 14 publications

(8 citation statements)

References 7 publications

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“…The Sobel gradient operator 7 is used to approximate the image gradient with respect to the horizontal and vertical directions. Given a grayscale version of a road surface image M , the gradient of the image in the horizontal,

, and vertical directions,

, are computed as,

…”

Section: Methodsmentioning

confidence: 99%

A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roads

et al. 2022

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Background: Autonomous vehicles are important in smart transportation. Although exciting progress has been made, it remains challenging to design a safety mechanism for autonomous vehicles despite uncertainties and obstacles that occur dynamically on the road. Collision detection and avoidance are indispensable for a reliable decision-making module in autonomous driving. Methods: This study presents a robust approach for forward collision warning using vision data for autonomous vehicles on Malaysian public roads. The proposed architecture combines environment perception and lane localization to define a safe driving region for the ego vehicle. If potential risks are detected in the safe driving region, a warning will be triggered. The early warning is important to help avoid rear-end collision. Besides, an adaptive lane localization method that considers geometrical structure of the road is presented to deal with different road types. Results: Precision scores of mean average precision (mAP) 0.5, mAP 0.95 and recall of 0.14, 0.06979 and 0.6356 were found in this study. Conclusions: Experimental results have validated the effectiveness of the proposed approach under different lighting and environmental conditions.

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, and vertical directions,

, are computed as,

…”

Section: Methodsmentioning

confidence: 99%

A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roads

et al. 2022

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“…The main goal of edge detection is to reduce the amount of data that needs to be processed by simplifying the pixels that make up the image's boundaries. The Sobel edge detection filter is one of the best edge detection algorithms, with a relatively low complexity [23]. The algorithm recognizes the boundaries of an image's horizontal and vertical axes separately.…”

Section: Sobel Edge Detectionmentioning

confidence: 99%

An Adaptive Richardson-Lucy Algorithm for Medical Image Restoration

Yaqoub¹,

Al-Ani²

2023

JTIT

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Image restoration is the process of estimating the original image content from a degraded picture. In this paper, the Richardson-Lucy iterative algorithm was developed to improve the quality of degraded medical images. It has been assumed that medical images are exposed to two types of degradation. The first type is the blur function in the Gaussian form with different widths, i.e. σ = 1 , 2, and 3. The second type of degradation was assumed to be of the independent white Gaussian noise type with different signal-to-noise ratio values: SNR = 10, 50 , and 100. The results obtained from the adaptive filter are compared, quantitatively, with different conventional filters: inverse, Wiener, and constraint least square, by applying different measures, such as: power signal to noise ratio (PSNR), structural similarity index (SSID), and root mean square error (RMSE). The comparison showed that the adaptive recovery filter achieves better results.

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“…Sanida et al have realized the Sobel filter, one of the most efficient and popular edge detection algorithms in image processing, in the OpenCL programming language. The results of their implementation are evaluated to other existing implementations and established to accomplish better performance [6]. Ehsan Akbari Sekehravani et al have proposed method edges in noisy images can be discovered effectively and better in edge and detail detection than regular canny algorithm [7].…”

Section: Review Of Literaturementioning

confidence: 99%

Performance analysis of gradient based image edge detection

Kasthuri

2022

ijhs

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Edge detection is a dynamic area of research and it gives support to higher level image analysis. Edge detection is a method of image processing used to make points in a digital image with discontinuities, sharp modifiers in the image brightness. Edge detection methods used in this work are Sobel, Prewitt, Roberts, Laplacian of Gaussian and Canny. The performance evaluation measures such as accuracy and specificity calculated from the Berkeley Segmentation dataset. Edge detection is used for object detection which offers various applications like medical field, industrial field, biometrics etc.

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A Heterogeneous Implementation of the Sobel Edge Detection Filter Using OpenCL

Cited by 14 publications

References 7 publications

A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roads

A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roads

An Adaptive Richardson-Lucy Algorithm for Medical Image Restoration

Performance analysis of gradient based image edge detection

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