Open AccessHybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique
Author(s) -
A. Sathesh,
Edriss Eisa Babikir Adam
Publication year - 2021
Publication title -
journal of artificial intelligence and copsule networks
Language(s) - English
Resource type - Journals
ISSN - 2582-2012
DOI - 10.36548/jaicn.2021.3.007
Subject(s) - binary image , image processing , image (mathematics) , computer science , thinning , binary number , topological skeleton , artificial intelligence , skeleton (computer programming) , pixel , skeletonization , process (computing) , feature detection (computer vision) , algorithm , computer vision , parallel processing , digital image processing , pattern recognition (psychology) , mathematics , parallel computing , segmentation , arithmetic , ecology , active shape model , biology , programming language , operating system
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.