Weighted pixel linking in a multiresolution pyramid for object extraction in a random field background

Antonio F. Limas Serafim

doi:10.1117/12.23538

1 November 1990 Weighted pixel linking in a multiresolution pyramid for object extraction in a random field background

Antonio F. Limas Serafim

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23538
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

An algorithm for object extraction in a random field background using a multiresolution pyramid based on a modified weighted pixel linking model is described. The original model'' depends on the geometric distances node-father and on a density distribution function of the node''s sons characteristics for extracting compact objects. A k parameter was additioned to the Gaussian distribution function that allows a better fit for the objects to be recognized. The gray levels standard deviation (s. d. ) of the objects in the original image can have an important role in the segmentation process for selecting the parameters needed to clean the histogram of the segmented image of the natural texture and noisy regions. The results were applied to the extraction of a characteristic defect of a cork agglomerate tile.

Citation Download Citation

Antonio F. Limas Serafim "Weighted pixel linking in a multiresolution pyramid for object extraction in a random field background", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23538

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