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- W2073860219 abstract "External visual interfaces for high precision measuring devices are based on the segmentation of images of their measuring reticle. In this paper, a method for subpixel straight lines detection is presented and tested on images taken from the reticle of a dark field autocollimator. The method has three steps, the sharpening of the image using a version of the Savitzky-Golay filter for smoothing and differentiation, the construction of a coarse edge image using Sobel filters, and finally, the subpixel edge location determination, by fitting a Gaussian function to orthogonal sections of the coarse edge image.We discuss results of applying the proposed method to images of the reticle of a Nikon 6D autocollimator, using the scale of the device as a benchmark for testing the error in the location of the lines and compare them with Sobel/Hough and Sobel/polynomial fitting. We report that for this type of image-content, Gaussian fitting has smaller uncertainty, when cameras with two different sensors are used." @default.
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- W2073860219 date "2014-05-01" @default.
- W2073860219 modified "2023-10-18" @default.
- W2073860219 title "Sub-pixel straight lines detection for measuring through machine vision" @default.
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- W2073860219 doi "https://doi.org/10.1109/i2mtc.2014.6860776" @default.
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