What is Segmentation

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The process of partitioning an image into segments based on certain criteria to simplify an image in a useful manner to ease the further required analysis. Learn more in: A Review of Supportive Computational Approaches for Neurological Disorder Identification

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Grouping individuals according to the similar properties. Learn more in: A Novel Approach to Segmentation Using Customer Locations Data and Intelligent Techniques

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The division of the market into smaller groups, identified by certain common needs and desires, which require distinct marketing efforts. Learn more in: Sophisticated Segments of the Market: Changes in Consumer Dynamics and Behaviors

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Is the process of classifying and partitioning a digital image, or point cloud, into multiple segments. Learn more in: Laser Scanning for the Evaluation of Historic Structures

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The process of dividing a market into clearly identifiable sub-segments with similar needs or wants. Learn more in: Consumer Acculturation and Implications for Brand Preferences

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It is usually the first stage of image analysis. Image segmentation can be described as dividing an image into meaningful regions in which different features are held. Learn more in: Android-Based Skin Cancer Recognition System Using Convolutional Neural Network

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In computer vision, the process of partitioning an image into multiple zones, areas, or segments, according to their content. Learn more in: Fully Automatic Epiretinal Membrane Segmentation in OCT Scans Using Convolutional Networks

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In computer vision, a process by which an image is subdivided into regions having homogeneous visual features. Learn more in: Particle Swarm Optimization and Image Analysis

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Grouping users according to a speculated buying propensity for services or products. Learn more in: Effective, Privacy-First Display Advertising: Ambient Intelligence for Online Ambient Environments

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It is a process of partitioning a digital image into multiple segments to simplify the representation of image into meaningful and easier for analysis. Learn more in: Thresholding Techniques for Dental Radiographic Images: A Comparative Study

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The process of classification of the area regarding a specific spot on the array to permit the distinction of the spot pixels either as foreground, or background. Learn more in: DNA Microarrays: Analysis and Interpretation

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The process of dividing the addressable market into smaller clusters by a marketing firm for clearly targeted marketing strategies. Learn more in: Pattern Thinking: Understanding the Mind of the Consumer

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Segmentation is partitioning an image into different parts according to their features and properties. Learn more in: Analyzing the Significance of Learner Emotions Using Data Analytics

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Grouping individuals according to the similar properties. Learn more in: Data Analytics in Industry 4.0: In the Perspective of Big Data

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A subdivision of a population into segments with similar characteristics, such as age, education, income. Learn more in: International Competitiveness of Niche Agricultural Products: Case of Honey Production in Serbia

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In image segmentation, the users select only that area of image that is of their interest. In this process the image is divided into multiple sections or structures of the interest, so that each section has characteristic similarity. Learn more in: Analysis of Different Image Processing Techniques for Classification and Detection of Cancer Cells

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Process of identifying subgroups of people with similar behavioral or attitudinal patterns. Learn more in: European General Practitioners' Usage of E-Health Services

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Segmentation refers to the automatic process of partitioning a data stream into multiple segments by set of predefined features (e.g. temperature, electricity consumptions, workdays, etc.). Learn more in: Big Data Time Series Stream Data Segmentation Methods

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The aim of image segmentation is the partition of the image in homogeneous regions. Segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s). Appendix A shows the bone segmentation of the image. Learn more in: Virtual Reality for Supporting Surgical Planning

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The process of building regions within an image which better represent the real world objects present in the image. Learn more in: Automated Image Analysis Approaches in Histopathology

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In computer vision, segmentation refers to the process of partitioning a digital image into multiple regions. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (structures) in images, in this case, the coronary tree in digital angiography frames. Learn more in: Angiographic Images Segmentation Techniques

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Segmentation refers to the identification of groups of individuals that share some characteristic with each other but are different from the others. In marketing, those groups are defined as market segments and are further used for targeting and positioning. Learn more in: Green Marketing and Branding: Combining Micro and Macro Perspectives to Achieve a Circular Economy

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An iterative process that leads to the foundation of similar groups according to a response variable Learn more in: Statistical Methods for User Profiling in Web Usage Mining

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Segmentation refers to the automatic process of partitioning a data stream into multiple segments by set of predefined features (e.g. temperature, electricity consumptions, workdays, etc.). Learn more in: Segmenting Big Data Time Series Stream Data

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The process of identifying distinct groups of buyers who might require separate products and/or marketing mixes, then creating a profile of each group. Divide the total market of a product or service in a number of homogeneous subsets such as the habits, needs and tastes of its components, calling up each of these subsets as a market segment. Learn more in: Marketing and Marketing Plan for Information Services

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Another major group that comprises the world of data mining involving technology that identifies not only statistically significant relationships between explanatory and target variables, but determines noteworthy segments within variable categories that illustrate prevalent impacts on the target variable. Learn more in: Data Mining Fundamental Concepts and Critical Issues

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Another major group that comprises the world of data mining involving technology that identifies not only statistically significant relationships between explanatory and target variables, but determines noteworthy segments within variable categories that illustrate prevalent impacts on the target variable. Learn more in: Data Mining: Payoffs and Pitfalls

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It is the process of dividing into separate parts or sections. Learn more in: Heart Sound Data Acquisition and Preprocessing Techniques: A Review

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Data mining task in which the goal is to build a model that separates data into interesting and meaningful subgroups where all members of a subgroup share common characteristics. Learn more in: Knowledge Discovery in Databases and Data Mining

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Segmentation means audio segmentation which is partitioning an audio stream into its homogeneous units. It refers to partition respiratory sound stream into individual inspiratory and expiratory phases. Learn more in: Enhancement of Recorded Respiratory Sound Using Signal Processing Techniques

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Partitioning of a digital image I into multiple non-overlapping regions such that the union of any two adjacent regions is not homogenous is called Image Segmentation. Learn more in: Breast Ultrasound Image Processing

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It is the process of isolating some object level pattern within an image from the rest of the image portion. In case of character segmentation it is the process of isolating the characters from the background. Learn more in: Development of a Stop-Line Violation Detection System for Indian Vehicles

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Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests, spending habits, and so on. Learn more in: Big Data Analytics in Retail Supply Chain

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Text segmentation is the process of segmenting a text stream into topically coherent segments. Learn more in: Automatic Data Enrichment in GIS Through Condensate Textual Information

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The partitioning of digital images into different regions, which group elements (pixels or voxels) with similar feature values. Learn more in: Anomaly Detection in Medical Image Analysis

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It is the process of partitioning a digital image into multiple segments and makes it more understandable. Learn more in: Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application

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Image processing technique for distinguishing the different homogeneous regions in an image. Learn more in: Computational Methods in Biomedical Imaging

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A process that partitions a digital image into disjoint (non-overlapping) regions, using a set of features or characteristics. The output of the segmentation step is usually a set of classified elements, such as tissue regions or tissue edges. Learn more in: Fuzzy Logic Applied to Biomedical Image Analysis

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Segmentation is the process of stratifying the portfolio (product, market, channel etc.) into clusters based on attributes like risk, margins, criticality, revenue, volume, lead times, life cycle stage, etc., which helps the organization put more emphasis and resources on key customers and products and make decisions on product portfolio management, as well as entry/exit of markets to enable an organization to offer differentiated service treatment to certain groups. Learn more in: Cognitive Integrated Business Planning