Hybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique
A. Sathesh, Edriss Eisa Babikir Adam
Abstract
Image thinning is the most essential pre-processing technique that plays major role in image processing applications such as image analysis and pattern recognition. It is a process that reduces a thick binary image into thin skeleton. In the present paper we have used hybrid parallel thinning algorithm to obtain the skeleton of the binary image. The result skeleton contains one pixel width which preserves the topological properties and retains the connectivity.
Topics & Concepts
Binary imageImage processingImage (mathematics)Computer scienceThinningBinary numberTopological skeletonArtificial intelligenceSkeleton (computer programming)PixelSkeletonizationProcess (computing)Feature detection (computer vision)AlgorithmComputer visionParallel processingDigital image processingPattern recognition (psychology)MathematicsParallel computingSegmentationArithmeticOperating systemBiologyProgramming languageActive shape modelEcologyDigital Image Processing TechniquesMedical Image Segmentation TechniquesAdvanced Vision and Imaging