Machine Vision: Theory, Algorithms, Practicalities

By E. R. Davies. 2004

490 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Improving quality inspection of food products by computer vision: a review (2004, background): “Such flash devices require only nanoseconds to produce a result with 50–200 megasamples processed per second (Davies, 1997).”
Medical Image Segmentation Methods, Algorithms, and Applications (2014, background): “The histogram of images has different peaks and valleys which can divide images into different parts [21,22].”
Explicit Shape Encoding for Real-Time Instance Segmentation (2019, methodology): “In addition to our proposed IR shape signature, there exist various methods to represent the shape, to name a few, centroid radius, complex coordinates, cumulative angle [5, 34, 39] etc.”
High speed obstacle avoidance using monocular vision and reinforcement learning (2005, methodology): “( Davies, 1997 ) More formally, given an image patch p (in our case 5x5 pixels), the Harris corner detector rst computes the 2x2 matrix M of intensity gradient covariances, and then compares the relative magnitude of the matrix’s two eigenvalues.”