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A camera automatically detects the edge of the disc.
Once the robot detects the edge, it will make a U-turn to get itself back on track.
According to the bionic lateral inhibition principle, the nearest receptors inhibit strongly the receptor that detects the edge, and such inhibition is stronger from the nearer receptors.
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In proposed method, an adaptive structure firstly detects the edges of motion objects.
The gradient method detects the edges by finding the maximum and minimum in the first derivative of the image.
The method detects the edges in the neighborhood of the blob border and evaluates the portion of the contour that is surrounded by edges.
In the first step, an adaptive Canny operator detects the edges, dividing the panoramic image into blocks of the same size, and the Otsu algorithm [27] is employed to calculate appropriate threshold values for each block.
Then we design an approach to train edge detection templates, and this approach can detect the edge precisely and efficiently, i.e., by only one iteration.
Sobel operator [28, 29] is an edge detection approach, which utilizes the kernels to detect the edge directions: horizontal, vertical, and diagonal.
The robots can also detect the edge of the spill and work their way inward.
In order to detect the edge, the color image must be converted to grayscale at first.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com