The Image Processing Handbook

By Louise Ross. Microscopy and Microanalysis, 2016

2,908 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/eceba4e34a3037559ad63dcba68f17780d948375

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In Computer Vision and Pattern Recognition

Citations in the corpus

Challenges and opportunities in quantum machine learning (2022, background): “When the data is of a purely classical origin, such as in applications for recommending products to customers [12], performing portfolio optimization [122, 123], and processing human languages [124] and everyday images [125], there is no known exponential advantage [117].”
A framework for automated analysis and simulation of 3D polycrystalline microstructures. (2008, background): “This is especially true because of the lack of an ability to describe 3D shape in general [35].”
Hierarchical representation and estimation of prosody using continuous wavelet transform (2017, background): “Wavelets are used in a great variety of applications for effectively compressing and denoising signals, to represent the hierarchical properties of multidimensional signals like polychromatic visual patterns in image retrieval, and to model optical signal processing of visual neural fields [25, 26].”
Unsupervised Threshold for Automatic Extraction of Dolphin Dorsal Fin Outlines from Digital Photographs in DARWIN (Digital Analysis and Recognition of Whale Images on a Network) (2012, methodology): “This channel is formed by combining the RGB channels in proportion to the human eye’s sensitivity to each color [8] as given by Equation 2.”
A Comprehensive Review of Image Enhancement Techniques (2010, methodology): “ the total number of pixels in the image. Assuming an M x N image, a normalized histogram. is related to probability of occurrence of rk in the image 3.1 Histogram Equalization Histogram equalization [8] is a common technique for enhancing the appearance of images. Suppose we have an image which is ”
Nano-chemo-mechanical signature of conventional oil-well cement systems: Effects of elevated temperature and curing time (2015, methodology): “The micrographs of characteristic lattice fringes were treated in the Scanning Probe Image Processor software, which includes image scaling and filtering with Fast Fourier Transform (FFT) [4].”
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, methodology): “Several techniques have been developed for these tasks (Gonzalez and Woods 2008; Russ 2011).”
Novelty Detection and Learning from Extremely Weak Supervision (2019, background): “Specifically for image processing there are often other stages, such as rotation, augmentation, scaling, elastic deformation, etc [15].”
Morphological and functional characterisation of the burrow systems of six earthworm species (Lumbricidae) (2015, methodology): “In this case, image segmentation is easy (Russ 1995) and the binarisation threshold was manually set to 185.”