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Scale-space segmentation or multi-scale segmentation is a general framework for signal and image segmentation, based on the computation of image descriptors
Scale-space_segmentation
Partitioning a digital image into segments
space and sometimes propagated from coarse to fine scales; see scale-space segmentation. Segmentation criteria can be arbitrarily complex and may take into
Image_segmentation
Framework for multi-scale signal representation
Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing communities
Scale_space
preserve some of the scale-space properties. Scale space Scale space implementation Scale-space segmentation Lindeberg, T., "Scale-space for discrete signals
Multi-scale_approaches
different ranges of scale (see the article on scale space). A special type of scale-space representation is provided by the Gaussian scale space, where the image
Scale_space_implementation
of scale space representations exist. A typical approach for choosing a particular type of scale space representation is to establish a set of scale-space
Scale-space_axioms
Morphological profile filters: Segmentation filters (planned for the future) ISO 16610-49: Morphological profile filters: Scale space techniques (published in
ISO_16610
Transformation defined on a grayscale image
Watershed algorithms are used in image processing primarily for object segmentation purposes, that is, for separating different objects in an image. This
Watershed_(image_processing)
Alternative representations of the RGB color model
in computer vision and image analysis for feature detection or image segmentation. The applications of such tools include object detection, for instance
HSL_and_HSV
Qualitative methodology used to describe traits of humans on psychological attributes
"What is Market Segmentation: Best Practices & Benefits". Qualtrics. Retrieved 2023-03-11. "Time to Scale Psycho-Behavioral Segmentation in Global Development
Psychographics
Optimization technique
image smoothing, the stereo correspondence problem, image segmentation, object co-segmentation, numerous military applications (eg Automatic target recognition)
Graph cuts in computer vision and artificial intelligence
Graph_cuts_in_computer_vision_and_artificial_intelligence
Feature detection algorithm in computer vision
minima of the result of difference of Gaussians function applied in scale space to a series of smoothed and resampled images. Low-contrast candidate
Scale-invariant feature transform
Scale-invariant_feature_transform
Family of computer vision models
classification, object detection, and segmentation. EfficientNet introduces compound scaling, which, instead of scaling one dimension of the network at a
EfficientNet
Process supporting machine learning
includes image classification, object detection, semantic segmentation, instance segmentation, and keypoint labelling.. Object detection tasks typically
Data_annotation
Operation that extracts small elements and details from given images
non-negative values at all pixels. One of its most important uses in image segmentation is to adjust nonuniform lighting conditions on an image and provide a
Top-hat_transform
cell individually to measure parameters. In 3D data, segmentation must be performed in 3D space. As the imaging of a nuclear marker is common across many
Bioimage_informatics
Computer memory management technique
Unisys MCP systems use segmentation instead of paging, dividing virtual address spaces into variable-length segments. Using segmentation matches the allocated
Virtual_memory
American computer scientist (1952–2010)
in computer vision and graphics; here he invented scale-space filtering, scale-space segmentation and Active Contour Models and published several prize-winning
Andrew_Witkin
Representing a 3D-modeled object or dataset as a 2D projection
indexed voxels. Volume segmentation also has significant performance benefits for other ray tracing algorithms. Volume segmentation can subsequently be used
Volume_rendering
Variation of reflectance or emittance of a material with respect to wavelengths
pixel and use them to divide the image in groups of similar pixels (segmentation) using different approaches. As a last step, they assign a class to each
Spectral_signature
before the segmentation is applied. Scaled correlation has been subsequently used to investigate synchronization hubs in the visual cortex. Scaled correlation
Scaled_correlation
Function in image processing
space and over scale. These notions have later been developed with application to road extraction by Steger et al. and to blood vessel segmentation by
Ridge_detection
Particular task in computer vision
{1}{2\pi t}}e^{-{\frac {x^{2}+y^{2}}{2t}}}} at a certain scale t {\displaystyle t} to give a scale space representation L ( x , y ; t ) = g ( x , y , t )
Blob_detection
Branch of mathematics
geometry. In practice, topology often means dealing with large-scale properties of spaces, such as connectedness and compactness. The field of topology
Geometry
Overview of and topical guide to computer vision
Multispectral imaging Normalized cut segmentation Optical flow Particle filtering Scale space Object recognition Scale-invariant feature transform (SIFT)
Outline_of_computer_vision
Interdisciplinary field
acquisition. The methods can be grouped into several broad categories: image segmentation, image registration, image-based physiological modeling, and others.
Medical_image_computing
Image segmentation algorithm
for multilabel image segmentation, Proc. of ICV 2007 R. Rzeszutek, T. El-Maraghi, D. Androutsos: Image segmentation using scale-space random walks, Proc
Random_walker_algorithm
American information technology company
behavioral analytics Asset discovery and classification Network segmentation and micro-segmentation Identity-based policy enforcement MACsec encryption support
Arista_Networks
Chinese mathematician (born 1968)
regimes of models in information scaling and proposed a perceptual scale space theory to extend the image scale space. From 1999 until 2002, with his Ph
Song-Chun_Zhu
Indian-American academic (born 1960)
test-of-time award. A subsequent paper defined the problem of object instance segmentation and presented a model for its solution. R-CNN variants dominated object
Jitendra_Malik
rigid motion segmentation is the process of separating regions, features, or trajectories from a video sequence into coherent subsets of space and time.
Rigid_motion_segmentation
Model of Internet between planets
protocol services in support of a range of applications: custody transfer, segmentation and reassembly, end-to-end reliability, end-to-end security, and end-to-end
Interplanetary_Internet
thresholding, line removal, line segmentation, word segmentation and transcript mapping. Thresholding converts a gray scale image to binary for separating
CEDAR-FOX
points detected through Harris corner detection, multi-scale analysis through Gaussian scale space and affine normalization using an iterative affine shape
Harris_affine_region_detector
Telecom band plan for LTE development
The Asia-Pacific Telecommunity (APT) band plan is a type of segmentation of the 612–806 MHz band (usually referred to as the 600 MHz & 700 MHz bands) formalized
Asia-Pacific Telecommunity band plan
Asia-Pacific_Telecommunity_band_plan
Revenue opportunity available for a product or service
framework established by Wind and Cardozo (1974, “Industrial Market Segmentation.” Industrial Marketing Management), the Target Market is a subset of
Total_addressable_market
Liu, Shan; Wang, Yongjun (2024). "RailPC: A large-scale railway point cloud semantic segmentation dataset". CAAI Transactions on Intelligence Technology
List of datasets in computer vision and image processing
List_of_datasets_in_computer_vision_and_image_processing
Computerized information extraction from images
quantitative aspects of computer vision. These include the concept of scale-space, the inference of shape from various cues such as shading, texture and
Computer_vision
Educational concept
method. Interactions between levels of knowledge and segmentation in multimedia learning: Segmentation is a strategy used to manage cognitive load, particularly
Expertise_reversal_effect
3D projection in which points in 3D space are linearly mapped onto a 2D plane
in space. This is good for maps of close-up areas. Wee-Chung, Liew, Alan; Shilin, Wang (31 January 2009). Visual Speech Recognition: Lip Segmentation and
Planar_projection
Approach used in computer vision systems
selection of spatial scales". Computer Vision and Image Understanding. Vol. 71. pp. 385–392. T. Lindeberg and M.-X. Li (1997). "Segmentation and classification
Corner_detection
Machine learning model for vision processing
ViTs and CNNs. ViTs have found application in image recognition, image segmentation, weather prediction, and autonomous driving. Transformers were introduced
Vision_transformer
Cognitive bias of underestimating time needed
planning fallacy. In three experiments, the segmentation effect was shown to be influential. However, the segmentation effect demands a great deal of cognitive
Planning_fallacy
Open-source algorithm library
reconstruction, 3D registration, model fitting, object recognition, and segmentation. Each module is implemented as a smaller library that can be compiled
Point_Cloud_Library
64-bit extension of x86 architecture
address space. This is still 65,536 times larger than the virtual 4 GiB address space of 32-bit machines. This feature eases later scalability to true
X86-64
Clustering methods
points in the dataset. In application to image segmentation, spectral clustering is known as segmentation-based object categorization. Given an enumerated
Spectral_clustering
Structuring text as input to generative artificial intelligence
can perform image segmentation by prompting. As an alternative to text prompts, Segment Anything can accept bounding boxes, segmentation masks, and foreground/background
Prompt_engineering
Sale of goods and services
competitiveness, market attractiveness, market trends Customer analysis – Market segmentation, demographic, geographic, and psychographic profile, values and attitudes
Retail
American software company
on a RightScale survey of 625 IT decision makers and categorized according to the Cloud Maturity Model, which is an analysis and segmentation of companies
RightScale
Experiment methodology
do so could lead to experiment bias and inaccurate conclusions. This segmentation and targeting approach can be further generalized to include multiple
A/B_testing
Phylum of microscopic animals
overridden setting (link) Smith, Frank W.; Goldstein, Bob (1 May 2017). "Segmentation in Tardigrada and diversification of segmental patterns in Panarthropoda"
Tardigrade
Type of feedforward neural network
Language Recognition without Temporal Segmentation". arXiv:1801.10111 [cs.CV]. Karpathy, Andrej, et al. "Large-scale video classification with convolutional
Convolutional_neural_network
Real function with finite total variation
functional: the segmentation problem for a two-dimensional image, i.e. the problem of faithful reproduction of contours and grey scales is equivalent to
Bounded_variation
Branch of human geography
resources at an international scale. Demographic phenomena (natality, mortality, growth rates, etc.) through both space and time Increases or decreases
Population_geography
Branch of machine learning
machine-learning research Outline of deep learning Reservoir computing Scale space and deep learning Sparse coding Stochastic parrot Topological deep learning
Deep_learning
Machine learning technique
Criss-Cross Attention for Semantic Segmentation. ICCV. arXiv:1811.11721. Fu, Jing (2019). Dual Attention Network for Scene Segmentation. CVPR. arXiv:1809.02983.
Attention_(machine_learning)
gradient boosting on decision trees Caffe — Image classification and image segmentation Dlib — C++ machine learning and computer vision library ELKI — data mining
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Geometric algorithm
Zhang, Hao; Cohen-Or, Daniel (2011). Unsupervised Co-Segmentation of a Set of Shapes via Descriptor-Space Spectral Clustering (PDF). ACM Transactions on Graphics
Diffusion_map
Tensor related to gradients
one-parameter scale-space features an image descriptor that is defined over two scale parameters. One scale parameter, referred to as local scale t {\displaystyle
Structure_tensor
Topical guide to object recognition
Mohan & Rakamant Nevatia (1992). "Perceptual organization for scene segmentation and description" (PDF). IEEE Transactions on Pattern Analysis and Machine
Outline_of_object_recognition
Dynamic memory management in the C programming language
These can include security bugs or program crashes, most often due to segmentation faults. Most common errors are as follows: Not checking for allocation
C_dynamic_memory_allocation
Human-based computation game
the 2D image to mark neuron parts, the player performs semantic image segmentation. By doing so across consecutive slices, a small volume is segmented,
Eyewire
image I L {\displaystyle I_{L}} the affine Gaussian scale-space is the three-parameter scale-space defined as L ( x ¯ ; Σ t ) = ∫ x i ¯ I L ( x − ξ ) g
Affine_shape_adaptation
Network packet distribution with multiple cores
cores (which are usually implemented as ring buffers within the kernel space). The main objective is being able to use all the cores available within
Multi-core network packet steering
Multi-core_network_packet_steering
Loss-of-control incident at OpenAI
defence-oriented models alongside conventional measures such as network segmentation and least-privilege access. Outside safety and policy specialists argued
OpenAI–HuggingFace_incident
Family of instruction set architectures
fully 16-bit extension of Intel's 8-bit 8080 microprocessor, with memory segmentation as a solution for addressing more memory than can be covered by a plain
X86
Neural network architecture
trained with shift-invariance in the coordinate space and avoids precise segmentation in the coordinate space. The TDNN was introduced in the late 1980s and
Time_delay_neural_network
Non-destructive method of accessing scrolls
unrolling. This process happens in three steps: segmentation, texturing and flattening. The segmentation step entails identifying geometric models for various
Virtual_unfolding
Processing of natural language by a computer
there are hardly any pauses between successive words, and thus speech segmentation is a necessary subtask of speech recognition (see below). In most spoken
Natural_language_processing
Type of plane partition
structures such as the medial axis (which has found applications in image segmentation, optical character recognition, and other computational applications)
Voronoi_diagram
Phylum of segmented worms
absent in others, and Echiura and Sipuncula show no obvious signs of segmentation. In species with well-developed septa, the blood circulates entirely
Annelid
Financial Services Mutual
Industrial Revolution. The society began offering life assurance on a nationwide scale in 1855 and continued to grow in the late 1800s. The Wesleyan and General
Wesleyan_Assurance_Society
Concept in computer vision
in the video sequence. A motion detection algorithm begins with the segmentation part where foreground or moving objects are segmented from the background
Foreground_detection
Separation between two points
September 2018. Chan, T.; Zhu, W. (2005). Level set based shape prior segmentation. IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Distance
Abnormal EEG pattern
signal must be subject to segmentation. The first segmentation used a fixed voltage-threshold, and various methods for segmentation or burst detection have
Burst_suppression
Method for data management
disambiguation, tagging, text segmentation, content analysis, text analysis, text mining, concordance generation, speech segmentation, lexing, or lexical analysis
Search_engine_indexing
Unit of speech sounds
however, IPA transcription is typically divided into words by spaces, and often these spaces are also understood to be syllable breaks. In addition, the
Syllable
Phylum of invertebrates with jointed exoskeletons
spiders is a result of this grouping. There are no external signs of segmentation in mites. Arthropods also have two body elements that are not part of
Arthropod
Hyperparameter optimization framework
networks (CNNs), for image classification, object detection, and semantic segmentation tasks. Recurrent neural networks (RNNs), for sequence-based tasks such
Optuna
Regression analysis
model Model specification Lp space Parameter location scale shape Parametric family Likelihood (monotone) Location–scale family Exponential family Completeness
Nonlinear_regression
Set of methods for supervised statistical learning
three to four rounds of relevance feedback. This is also true for image segmentation systems, including those using a modified version SVM that uses the privileged
Support_vector_machine
Machine learning-powered structure design
speed-accuracy tradeoff curve of MobileNetV3 on the Cityscapes semantic segmentation dataset, and SqueezeNAS uses over 100x less search time than was used
Neural_architecture_search
Core of a computer operating system
doing this is virtual addressing, usually achieved by paging and/or segmentation. Virtual addressing allows the kernel to make a given physical address
Kernel_(operating_system)
Field of electrical engineering
2021). "The Emerging Field of Graph Signal Processing for Moving Object Segmentation". Frontiers of Computer Vision. Communications in Computer and Information
Signal_processing
Storage of a file in non-contiguous blocks
fragments ("bubbles") of free space to facilitate extending nearby files (see preventing fragmentation below). File segmentation, also called related-file
File_system_fragmentation
Algorithmic application of graph theory
given heuristic. Connected-component labeling is not to be confused with segmentation. Connected-component labeling is used in computer vision to detect connected
Connected-component_labeling
Technique to solve partial differential equations
primarily designed for deep learning of 3D object classification and segmentation by the research group of Leonidas J. Guibas. PointNet extracts geometric
Physics-informed neural networks
Physics-informed_neural_networks
Software that manages computer hardware resources
memory. Various methods of memory protection exist, including memory segmentation and paging. All methods require some level of hardware support (such
Operating_system
Earthquake impacting Myanmar and Thailand
earthquake reveals a complex earthquake cycle with clustering and variable segmentation on the Sagaing Fault". Proceedings of the National Academy of Sciences
2025_Myanmar_earthquake
Method in image processing of contrast adjustment using the image's histogram
unequalized image. Digital image processing Histogram matching Image segmentation Normalization (image processing) Hum, Yan Chai; Lai, Khin Wee; Mohamad
Histogram_equalization
Method that extracts features from radiographic medical images
semiautomatic segmentation workflow where human label the first few slices and then the ML system do the rest. Before it can be applied on a big scale, an algorithm
Radiomics
Lossy compression technique
efficiently stored than the non-quantized version. Image segmentation Image-based meshing Range segmentation John Wiseman, An Introduction to MPEG Video Compression
Quantization (image processing)
Quantization_(image_processing)
Marine geologist
Nedimović, Mladen R.; Han, Shuoshuo; Perfit, Michael R. (2013). "Fine-scale segmentation of the crustal magma reservoir beneath the East Pacific Rise". Nature
Suzanne_Carbotte
Computer recognition of visual text
to artifacts must be connected. Normalization of aspect ratio and scale Segmentation of fixed-pitch fonts is accomplished relatively simply by aligning
Optical_character_recognition
Algorithm for modelling sequential data
vocabularization algorithm and a dedicated segmentation algorithm. There also exist several segmentation algorithms that require no learning and can
Transformer_(deep_learning)
non-local filtering: A fast alternative to anisotropic diffusion for image segmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(1):42-48
Eric_L._Schwartz
has been shown to reduce over-segmentation and under-segmentation errors compared to usually used watershed segmentation method. Vaa3D has been used in
Vaa3D
Geological feature
Potential of the Main Himalayan Thrust Constrained by Coupling Segmentation and Earthquake Scaling". Geophysical Research Letters. 48 (13). doi:10.1029/2021GL093106
Main_Himalayan_Thrust
Website content based on a visitor's location
information without invading a user's privacy. This process is similar in scale to the task of Web spidering. Websites utilize IP delivery for search engine
Geotargeting
Color space
x and y. RG color space CIE 1931 color space Trichromacy Imaginary color Grassmann's law Chromaticity Chrominance Image segmentation Computer vision J
Rg_chromaticity
travel, tourism, insurance
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SCALE SPACE-SEGMENTATION
SCALE SPACE-SEGMENTATION
SCALE SPACE-SEGMENTATION
SCALE SPACE-SEGMENTATION
SCALE SPACE-SEGMENTATION
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