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Subjects / keywords: Mathematical morphology; Morphology (biology); Image (mathematics); Artificial intelligence; Computer science; Morphological analysis; Computer vision; Image processing; Geology; Paleontology

Subjects / keywords: image analysis, stereology, stochastic geometry, materials science, biomedical science; Medicine: Medicine (General); Science: Mathematics

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensi...

Subjects / keywords: Software; Image (mathematics); Computer science; Data science; Image processing; Image analysis; Computer graphics (images); Computer vision; Digital image processing; Programming language

Subjects / keywords: Deep learning; Artificial intelligence; Computer science; Segmentation; Field (mathematics); Convolutional neural network; State of art; Image segmentation; Open research; Machine learning; Image (mathematics); Data scie...

Economic inequality is a social phenomenon with several facets, all of which are signifificant when it comes to multidimensional measurement. When income is used as the fundamental variable of analysis to measure economi...

Water availability is one of the main limiting factors that control ecosystem functions and productivity in semiarid regions. Vegetation of these regions usually presents a patchy distribution where sparse plant cover is...

Current knowledge of the nervous system, particularly the brain, is the result of technological advances and the collective effort of many scientists. However, it was Santiago Ramón y Cajal (1852–1934) who played a cr...

La littérature depuis ses commencements jusquà nos jours sest mise fréquemment à regarder létranger, dont les représentations comptent, sans doute, parmi les plus anciennes de lHumanité, car les nombreuses bataill...

BACKGROUND: ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions ...

We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are lo...

A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of interpreting/smoothing data containing a significant percentage of gross errors, and is thus ...

The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such ...

"James Paul Gee's "Introduction to Discourse Analysis: Theory and Method" (5th edition) provides a comprehensive guide to conducting discourse analysis. The book outlines Gee's approach, which involves examining how lang...

It is generally accepted that the functional compartmentalization of eukaryotic cells is reflected by the differential occurrence of proteins in their compartments. The location and physiological function of a protein ar...

This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enoug...

Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly represen...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

A theory of edge detection is presented. The analysis proceeds in two parts. (1) Intensity changes, which occur in a natural image over a wide range of scales, are detected separately at different scales. An appropriate ...

We present the automated techniques we have developed for new software that optimally detects, deblends, measures and classifies sources from astronomical images: SExtractor (Source Extractor ). We show that a very relia...

Subjects / keywords: Art; Psychology; Image analysis; Electronic books

Subjects / keywords: Communication; Public relations; Content analysis (Communication); Corporate image; Identity (Philosophical concept); Media literacy; Image analysis; Electronic books

Subjects / keywords: Image (Philosophy); Aesthetics; Image analysis

Subjects / keywords: Glass painting and staining; Image analysis; Glass, Ornamental