Geometrical and morphological image processing algorithm

Kamran Reihani; Wiley E. Thompson

doi:10.1117/12.45392

1 June 1991 Geometrical and morphological image processing algorithm

Kamran Reihani, Wiley E. Thompson

Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45392
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

Early vision processing involves segmenting and eliminating/minimizing extrinsic variations in an image. Tradition segmentation algorithms use a single threshold to reduce image data to the regions important to the vision system. A single threshold rarely gives good segmentation results over an entire image because it may reject too many of the objects as belonging to the background or may accept too much of the background as belonging to the objects. This paper presents a segmentation method that uses multiple thresholds for partitioning an image into objects and background. The segmentation process is a gradient approach whereby the multiple (or adaptable) thresholds are calculated from discriminant structural feature values.

Citation Download Citation

Kamran Reihani and Wiley E. Thompson "Geometrical and morphological image processing algorithm", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45392

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