25 May 1989 A Gray-Level Image Segmentation Method
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Abstract
The aim of the paper is to present a segmentation method based on an extension to multi-gray-level images of the thresholding, named multithresholding and on a merging of so obtained regions using general knowledge concerning visual data. The system implemented firstly preprocesses the digitized images. Then, after a quadtree coding, detects the thresholds by gray-level histogram processing and obtains the regions by a labeling method. Finally the system performs the merging process, in which the detected regions are merged in order to refine the image segmentation. The merging is conceived as knowledge-based process oriented to perceptual concept utilization.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paolo Puliti, Guido Tascini, "A Gray-Level Image Segmentation Method", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953307; https://doi.org/10.1117/12.953307
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