Machine vision

By Ramesh C. Jain, Rangachar Kasturi, B. G. Schunck. 1995

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “odules separately divides the challenging task of automated driving into an easier-to-solve set of problems [69]. These sub-tasks have their corresponding literature in robotics [70], computer vision [71] and vehicle dynamics [36], which makes the accumulated know-how and expertise directly transfer”
Harmonic/Percussive Separation Using Median Filtering (2010, methodology): “Median filters have been used extensively in image processing for removing speckle noise and salt and pepper noise from images [7].”
A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments (2007, background): “The model iteratively classifies nonground LiDAR returns that exceed positive curvature thresholds at multiple scales.”
Free-viewpoint video of human actors (2003, background): “Silhouette quality is improved via subsequent morphological dilate and erode operations [Jain et al. 1995].”
On the Canny edge detector (2001, methodology): “A typical implementation of the Canny edge detector [11,12] follows the steps below.”
Fast and inexpensive color image segmentation for interactive robots (2000, background): “Another approach is to use a set of constant thresholds defining a color class as a rectangular block in the color space [4].”
Red-Teaming the Stable Diffusion Safety Filter (2022, background): “Unfortunately, since the model is not documented [6], we had to ﬁnd the details in unmerged commits.”
Object‐based land‐cover classification for the Phoenix metropolitan area: optimization vs. transportability (2008, background): “Examples of these are moving window filters which can be implemented with the help of convolution masks (Jain et al. 1995).”
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (2000, methodology): “The MFR images for all 20 images were processed using basic thresholding.”
Robust Vessel Segmentation in Fundus Images (2013, background): “Region growing [13, 14] and tracking algorithms [15–18] are good examples for such kind of segmentation methods.”