A Review of Image Segmentation Using MATLAB Environment
Awf Abdulrahman, Serkan Varol
Abstract
Image segmentation is of great importance in understanding and analysing objects within images. The process involves dividing vague images into meaningful and useful ones by segmenting them and subsequently evaluating them based on colour density. This process is used in the medical, cultural and industrial fields, among others. There are many functions used in image segmentation, including edge and threshold functions. This paper will review these techniques, provide examples, and illustrate the types of applicable images.
Topics & Concepts
Image segmentationArtificial intelligenceComputer scienceComputer visionSegmentationScale-space segmentationProcess (computing)Segmentation-based object categorizationMarket segmentationMATLABImage (mathematics)Enhanced Data Rates for GSM EvolutionEdge detectionPattern recognition (psychology)Image processingOperating systemMarketingBusinessMedical Image Segmentation TechniquesRetinal Imaging and AnalysisImage Retrieval and Classification Techniques