Dynamic object recognition using hit-or-miss approach

Prabir Bhattacharya; Weibin Zhu; Kai Qian

doi:10.1117/12.186560

21 September 1994 Dynamic object recognition using hit-or-miss approach

Prabir Bhattacharya, Weibin Zhu, Kai Qian

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186560
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Prabir Bhattacharya, Weibin Zhu, and Kai Qian "Dynamic object recognition using hit-or-miss approach", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186560

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