Superpixels extraction by an Intuitionistic fuzzy clustering algorithm
Dante Mújica‐Vargas
Abstract
A scheme to develop the image over-segmentation task is introduced in this paper, it considers the pixels of an image as intuitive fuzzy sets and develops an intuitionistic clustering process of them. In this regard, the main contribution is to provide a method for extracting superpixels with greater adherence to the edges of the regions. Experimental tests were developed considering biomedical grayscale and natural color images. The robustness and effectiveness of this proposal was verified by quantitative and qualitative results.
Topics & Concepts
Cluster analysisGrayscaleArtificial intelligenceRobustness (evolution)PixelComputer scienceFuzzy logicPattern recognition (psychology)Fuzzy clusteringImage segmentationImage (mathematics)SegmentationData miningMathematicsBiochemistryGeneChemistryImage Retrieval and Classification TechniquesMedical Image Segmentation TechniquesRemote-Sensing Image Classification