A Gray-Level Image Segmentation Method

Paolo Puliti; Guido Tascini

doi:10.1117/12.953307

25 May 1989 A Gray-Level Image Segmentation Method

Paolo Puliti, Guido Tascini

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953307
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

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.

Citation Download Citation

Paolo Puliti and Guido Tascini "A Gray-Level Image Segmentation Method", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953307

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