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Image Recognition and Classification: Algorithms, Systems, and Applications
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TLDR
Introduction linear filters for pattern recognition nonlinear filtering for image recognition distortion invariant pattern recognition systems image recognition based on statistical detection theory neural networks based automatic target recognition hyperspectral automatic object recognition laser radarautomatic target recognition radar signature recognition wavelets.Abstract:
Introduction linear filters for pattern recognition nonlinear filtering for image recognition distortion invariant pattern recognition systems image recognition based on statistical detection theory neural networks based automatic target recognition hyperspectral automatic object recognition laser radar automatic target recognition radar signature recognition wavelets for image recognition pattern recognition for anticounterfeiting and security systems applications of pattern recognition techniques to road sign recognition and tracking optical and optoelectronic implementation of linear and nonlinear filters.read more
Citations
More filters
Proceedings Article
Image Processing
TL;DR: The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.
Journal Article
Digital wavefront measuring interferometer for testing optical surfaces and lenses
TL;DR: In this article, a self-scanned 1024 element photodiode array and a minicomputer are used to measure the phase (wavefront) in the interference pattern of an interferometer to lambda/100.
Journal Article
Digital decoding of in-line holograms
Levent Onural,Peter D. Scott +1 more
TL;DR: The proposed filter is a truncated series expansion of the inverse of that operator that maps object opacity function to hologram intensity, which is shown to be equivalent to conventional (optical) reconstruction, with successive terms increasingly sup-pressing the twin image.
Automated Three-Dimensional Identification and Tracking of Micro/Nanobiological Organisms by Computational
TL;DR: A comprehensive mixture of optical and computational tools developed in this group aiming at real-time sensing and recognition of biological microorganisms are reviewed and deemed promising with the potential of widespread application.
Journal ArticleDOI
Three-dimensional identification of stem cells by computational holographic imaging.
Inkyu Moon,Bahram Javidi +1 more
TL;DR: An optical imaging system and mathematical algorithms for three-dimensional sensing and identification of stem cells and a statistical approach using an empirical cumulative density function is introduced, indicating that the system can be potentially useful for recognizing and classifying stem cells.
References
More filters
Journal ArticleDOI
Snakes : Active Contour Models
TL;DR: This work uses snakes for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest, and uses scale-space continuation to enlarge the capture region surrounding a feature.
Journal ArticleDOI
Introduction to Fourier Optics
Joseph W. Goodman,Mary E. Cox +1 more
TL;DR: The second edition of this respected text considerably expands the original and reflects the tremendous advances made in the discipline since 1968 as discussed by the authors, with a special emphasis on applications to diffraction, imaging, optical data processing, and holography.
Proceedings Article
Image Processing
TL;DR: The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.
Journal ArticleDOI
Direct recording of holograms by a CCD target and numerical reconstruction.
Ulf Schnars,W. Jüptner +1 more
TL;DR: The principle of recording holograms directly on a CCD target is described and a real image of the object is reconstructed from the digitally sampled hologram by means of numerical methods.
Book ChapterDOI
V Phase-Measurement Interferometry Techniques
TL;DR: The phase modulation in an interferometer can be induced by moving a mirror, tilting a glass plate, moving a grating, rotating a half-wave plate or analyzer, using an acoustooptic or electro-optic modulator, or using a Zeeman laser as mentioned in this paper.