Compact and Power-efficient Sobel Edge Detection with Fully Connected Cube-network-based Stochastic Computing

Joe, Hounghun; Kim, Young‐Min

doi:10.5573/jsts.2020.20.5.436

Cited by 1 publication

(1 citation statement)

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“…In order to obtain a high-level feature and improve the accuracy of stereo matching, the first derivative Sobel operator can be used to perform gradient extraction operation of spatial convolution. And edge can be extracted from the image to make the feature more obvious [17,18], the Sobel operator is shown in Eq. 3, where I is original image, G x and G y are Convolution factor of longitudinal and horizontal axis direction.…”

Section: Edge Detection By Sobel Operatormentioning

confidence: 99%

An Improved Sum of Squared Difference Algorithm for Automated Distance Measurement

2021

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In recent years, with improvement of photoelectric conversion efficiency and accuracy, photoelectric sensor was arranged to simulate binocular stereo vision for 3D measurement, and it has become an important distance measurement method. In this paper, an improved sum of squared difference (SSD) algorithm which can use binocular cameras to measure distance of vehicle ahead was proposed. Firstly, consistency matching calibration was performed when images were acquired. Then, Gaussian blur was used to smooth the image, and grayscale transformation was performed. Next, the Sobel operator was used to detect the edge of images. Finally, the improved SSD was used for stereo matching and disparity calculation, and the distance value could be obtained corresponding to each point. Experimental results showed that the improved SSD algorithm had an accuracy rate of 95.06% when stereo matching and disparity calculation were performed. This algorithm fully meets the requirements of distance measurement.

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Section: Edge Detection By Sobel Operatormentioning

confidence: 99%