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Proceedings Paper

Dynamic object recognition using hit-or-miss approach
Author(s): Prabir Bhattacharya; Weibin Zhu; Kai Qian
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Paper Abstract

We develop a new morphological hit-miss algorithm for detecting the features of binary images. The standard hit-miss algorithms use block structure patterns for matching features but in many practical situations this may cause problems because the size of the object is usually unknown. In the proposed algorithm we match the corners of the object instead of the block structure pattern -- this approach works nicely because most objects have different structure elements for the corners. The size of the object plays a less significant role in our recognition algorithm than in the standard algorithms. Our method can be easily adapted to recognize the features of different types of objects. We have implemented the proposed algorithm to recognize the muzzles of guns in military vehicles.

Paper Details

Date Published: 21 September 1994
PDF: 7 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186560
Show Author Affiliations
Prabir Bhattacharya, Univ. of Nebraska/Lincoln (United States)
Weibin Zhu, Univ. of Nebraska/Lincoln (United States)
Kai Qian, Georgia Southwestern College (United States)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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